Snowflake Inc. jobs

Consulting Solution Architect - Snowflake - Digital Velocity Remote – USA posted: Posted 30+ Days Ago

Senior Director, Partnerships - Snowflake San Francisco At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO As a Senior Director, Partnerships - Snowflake, you are responsible for defining and driving Braze's global strategy for one of its most critical technology partnerships. You will identify structural growth opportunities within the Snowflake ecosystem, establish long-term partnership direction, and align executive stakeholders across both organizations around shared commercial objectives. You will operate as a core strategic leader within the Partnerships organization -

Data Engineer (Snowflake) Warsaw, Masovian, Poland Due to the dynamic growth of the Data & AI Engineering team, we are looking for a Data Engineer (Snowflake). Your Role Accountabilities…. Building, developing, and maintaining solutions in the area...

Snowflake Platform Engineer, AI & Data Platforms (AiDP) Austin, United States of America A specialized role for a Snowflake Platform Administration & Performance Engineer role focuses on the seamless synergy between automated administration and high-tier workload optimization. This position is about transforming the data warehouse into an autonomous, high-performance engine that fuels real-time decision-making. Performance Tuning & Optimization: Proactively monitor and tune workloads using Snowsight Performance Explorer and account usage schemas. You will optimize query execution by analyzing query profiles for disk spillage, identifying Cartesian joins, and implementing Search Optimization Services or Query Acceleration where necessary. Lakehouse Implementation: Design and manage unified storage using Apache Iceberg to allow open-format data to be queried directly in Snowflake with warehouse-level performance. Python-Driven Automation: Develop advanced scripts and pipelines using Snowpark Python and Snowpark pandas APIs for scalable data transformations. Automate administrative tasks such as environment provisioning and security policy enforcement through Infrastructure as Code (IaC) tools like Terraform. Cloud: Manage Snowflake Iceberg Tables in AWS cloud.Experience in cloud s3, gateway, private link, EKS, Load Balancing, VPC peering, and secure data sharing Advanced Cost Management: Implement autonomous warehouse management, right-sizing clusters based on real-time usage patterns, and configuring auto-suspend/resume with 60-second timeouts to eliminate idle compute waste Snowflake Platform Administration: Manage accounts, virtual warehouses, and database objects. This includes configuring auto-scaling, monitoring warehouse utilization, and implementing backup strategies via Time Travel and Cloning Security & Governance: Implement Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and data masking policies. You are responsible for ensuring

Sr. Snowflake Data Engineer, Onsite, AVP 2 Locations posted: Posted 22 Days Ago

Senior IT Technologist - Snowflake Nanakramguda, Hyderabad, India posted: Posted 30+ Days Ago

Sr. Data Engineer-HANA, Snowflake, SAP BW, ABAP IN, BANGALORE posted: Posted 30+ Days Ago

Senior Data & BI Analyst (MS Power BI, Snowflake) Hyderabad, Telangana, India posted: Posted 21 Days Ago

Systems Analyst 3609 OM Halyard India Owens & Minor is a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, health systems and research centers around the world. For over 140 years, Owens & Minor has delivered comfort and confidence behind the scenes, so healthcare stays at the forefront, helping to make each day better for the hospitals, healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere, Life Takes Care™. Global Reach with a Local Touch 140+ years serving healthcare Over 14,000 teammates worldwide Serving healthcare partners in 80 countries Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland 40+ distribution centers Portfolio of 300 propriety and branded product offerings 1,000 branded medical product suppliers 4,000 healthcare partners served Informatica IDMC / Snowflake Developer Job Description We are seeking a highly skilled Informatica IDMC / Snowflake Project Developer to design, develop, and optimize modern data integration solutions using Informatica Intelligent Data Management Cloud (IDMC) and Snowflake. In this role, you will be responsible for building scalable ETL/ELT pipelines, enabling seamless data movement across cloud and on-premises environments, and supporting enterprise data transformation initiatives. The ideal candidate will have hands-on experience in Informatica IDMC, strong expertise in Snowflake data warehousing, and a solid understanding of modern cloud-based data engineering practices. You will work closely with cross-functional teams to gather business requirements, enhance data workflows, and ensure high-performing, secure, and

Senior Data Scientist Buenos Aires, Argentina Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to join our Data Science team. This person will drive data science initiatives, provide technical guidance when needed, and leverage data to solve complex business challenges. The ideal candidate has a deep understanding of data science methodologies, strong statistical expertise, and proven experience delivering impactful data solutions in a dynamic environment. This is a 1-year contract with the potential for extension. Responsibilities: Use data analysis, visualization, and modeling tools (e.g., Looker, Jupyter Notebooks, Python, Pandas) to drive data-driven business strategies, with a focus on cost prediction for a two-sided marketplace. Design and execute data science projects, including hypothesis development, statistical analysis, and experimentation (e.g., A/B testing) to answer key business questions and validate assumptions. Collaborate with cross-functional teams to translate business needs into data science solutions and ensure alignment with Xometry's objectives. Analyze existing algorithms for accuracy and performance, provide recommendations for optimization, and update production code as necessary. Query and extract data from databases (e.g., Snowflake, MongoDB) to support analysis and model development. Implement robust data science methodologies, emphasizing best practices in code reproducibility, version control, and model deployment.

Senior Data Analyst LATAM Buenos Aires, Argentina Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a strategic, highly analytical Senior Data Analyst to join our team as we transition our advertising model to a pay-for-performance structure. In this dual-impact role, you will serve as the critical bridge between Marketing, Sales, Yield, and Product teams. You will be responsible for the full lifecycle of advertising data-from tracking how we acquire site traffic to optimizing how we monetize that traffic. Your work will directly influence our marketing spend, pricing strategies, and inventory management to maximize overall revenue and growth. Key Responsibilities Performance & Attribution: Develop sophisticated attribution models and funnel reporting across paid and organic channels to determine ROI based on both short- and long-term outcomes. Yield Optimization: Build and maintain campaign management data and reporting to improve monetization effectiveness and ad performance. Analytics Engineering: Build and maintain robust data models Snowflake (using dbt, Airflow, or similar) that integrate data from Segment, Salesforce, HubSpot, Iterable, and ad servers. Strategic Insights: Analyze website traffic, customer conversion/retention, and inventory supply/demand to provide actionable insights for leadership. Testing & Experimentation: Analyze and support experiments and A/B tests for product, marketing campaigns and

Senior Data Engineer Buenos Aires, Argentina Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking to add a Senior Data Engineer to our Marketplace Services team. The ideal candidate will have a passion for building and maintaining Xometry's core data pipelines and models used to understand key business performance. Additionally, this person will help scale data modeling across all global entities. You will play a crucial role in a rapidly growing part of the Xometry business, and everything you do will matter. What you will do: Close collaboration with data scientists, ML engineers, and product teams to translate requirements into scalable, maintainable data solutions Build, document, and maintain robust data pipelines using tools like dbt, Dagster, Snowflake, Estuary, and Airbyte. Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines Design, build, and operate cloud-based (AWS) data infrastructure, optimizing for scale, performance, and cost efficiency as the size of our data grows Build frameworks and internal self-service tooling that helps the data team deliver value faster Requirements: Bachelor's degree required, or relevant experience 5+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment Proficiency in cloud

Software Engineer II, Data Warehouse San Francisco, CA Amplitude is the leading AI analytics platform, helping over 4,700 customers-including Atlassian, Burger King, NBCUniversal, and Square-build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude's Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion-one focused on psychological safety, empathy, and human connection-that will allow employees of all backgrounds to thrive. About The Role & Team The Data Warehouse team builds the systems that connect Amplitude to the broader data ecosystem - import connectors that bring data in from external platforms (Snowflake, Azure Blob Storage, S3, Databricks, and more), and export infrastructure that pushes data back out to the tools customers already use. We also own the configuration layer that manages the lifecycle of those connections and credentials. As a Software Engineer II on the Data Warehouse team, you'll help

ETL/Data Architect Mettawa, IL, United States Company Description: AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: Key Responsibilities Define & enforce development standards for ETL/Data Warehousing. Design, code, test, & document reusable objects using Snowflake & IICS. Lead full lifecycle Data Warehousing & integration projects from requirements to deployment. Collaborate with Data Engineering team to implement solutions aligned with business needs. Optimize infrastructure & reduce Data platform costs. Implement operational improvements, including processes, controls, & code reviews. Qualifications: Education & Experience Must have a Bachelor's or foreign education equivalent in Engineering, Computer Science or Biotechnology, or foreign education equivalent & 4 years of experience as a data architect or in related field. Of experience required, must have 4 years: (i) working in data integration, data warehousing, cloud-related initiatives, & development & implementation of data solutions; (ii) writing complex SQL queries; (iii) partnering with external vendors or implementation partners to optimize service delivery; (iv) working with data warehousing, data technologies, & ETL solutions; & (v) leading end-to-end data engineering & data modelling activities, including

Senior Business Intelligence Engineer (Hybrid) Chicago, IL We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the role: We live and breathe data at Enova - and this role sits at the center of it. As a Senior Business Intelligence Engineer, you will design, develop, and maintain robust reporting solutions and analytic applications that power decision-making across Finance, Marketing, Operations, Compliance, and more. You will partner directly with business owners to gather requirements, translate them into scalable BI solutions, and take ownership of the full project lifecycle - from scoping through delivery and ongoing support. You will also play a key role in advancing our use of AI across the BI and data development workflow, leveraging modern tools to accelerate insight delivery and drive strategic impact. Responsibilities : - Partner with stakeholders across all our PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions - Lead technical initiatives end-to-end from architecting the solution to collaborating with peers on execution - Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics - Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools - Operates as a senior member of the team: leads projects end-to-end from scoping and design through delivery and support - Build, optimize, and support data marts and data warehouse solutions using Snowflake

Senior Computer Vision Scientist, 3D North Bethesda, MD Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is adding a Senior Computer Vision Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models using 3D data Write software to prepare, clean, and sample data for use in developing predictive models Use cloud resources (e.g., Amazon Web Services) to prepare and process data Query and extract data from databases (Snowflake and MongoDB) Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm Solve challenging, uncharted problems Work in an environment that thrives on teamwork and continuous learning opportunities Qualifications: Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or PhD in a related field highly desired 5+ years of

Marketing Data & Performance Ops Specialist Mexico The Marketing Performance Operations Specialist supports the demand generation team by managing paid media reporting, attribution, tracking implementation, and marketing data systems. This role ensures campaign performance is accurately measured and provides actionable insights that help the paid media team optimize budgets and improve lead generation outcomes. This position will be remote Reports to: Head of Growth What You Will Own - Build and maintain paid media performance dashboards - Monitor marketing attribution and conversion tracking accuracy - Connect advertising platforms with internal data systems such as Salesforce and analytics tools - Prepare weekly and monthly performance reporting for marketing leadership - Assist with campaign tagging, tracking parameters, and data hygiene - Identify trends and performance insights across channels - Support budget pacing and forecasting models - Assist with campaign experiment analysis and reporting What You Will Need to Accomplish the Job - 4+ years experience in marketing analytics, marketing ops, or performance marketing reporting - Experience working with Google Analytics, advertising platform reporting, SQL and BI reporting tools (Snowflake preferred) - Strong Excel / spreadsheet skills - Familiarity with marketing attribution and conversion tracking - specifically incrementality studies. - Experience with Salesforce reporting - Experience with BI tools such as Sigma, Looker, or Tableau - Familiarity with marketing automation platforms What Will Make Us Love You - Data and results driven - Fast but thorough - Building for scale - Brings industry best practices to the team and levels up the team

Principal Data Architect United States Recruitment Fraud Alert We've learned that scammers are impersonating Commvault team members-including HR and leadership-via email or text. These bad actors may conduct fake interviews and ask for personal information, such as your social security number. What to know: - Commvault does not conduct interviews by email or text. - We will never ask you to submit sensitive documents (including banking information, SSN, etc) before your first day. If you suspect a recruiting scam, please contact us at [email protected] About Commvault Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks - keeping data safe and businesses resilient. The company's unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data. The Opportunity... The Principal Data Architect is a senior, hands-on architecture role responsible for defining and driving Commvault's enterprise data architecture strategy. This role establishes the vision, standards, and roadmap for how data is modeled, integrated, governed, and delivered across the organization to support scalable analytics, operational reporting, and AI/ML use cases. This role combines deep, practical expertise in modern cloud data platforms (e.g., Snowflake, Databricks, Azure) with strong architectural leadership. The Principal Data Architect defines architecture principles and standards,

Senior Data Engineer Romania-Cluj Office 8x8 connects our customers and teams globally, empowering CX leaders with performance and insights to make smarter decisions, delight customers, and drive lasting business impact. Job Overview We are seeking a highly skilled and motivated Data Engineer to join our growing data engineering team. In this role, you will design, build, and maintain robust data pipelines and architectures that support analytics, machine learning, and operational workloads. You'll work with modern data stack tools including Snowflake , dbt , and Matillion or similar platform , and will play a key role in shaping how data flows and is consumed across the organization. Key Responsibilities Build and Maintain Data Pipelines Design and develop reliable, scalable, and secure ETL/ELT pipelines using Matillion(or similar platform) , Python , and dbt to ingest, transform, and deliver data from various sources into our Snowflake data warehouse. Optimize Data Infrastructure Work on performance tuning of SQL queries, table structures, and warehouse configurations to ensure efficient data processing and storage. Collaborate Cross-functionally Work closely with data analysts, data scientists, product managers, and engineering teams to understand data needs and deliver high-quality datasets. Data Modeling Design and maintain scalable dimensional and normalized data models within Snowflake to support both analytical and operational use cases. Implement and Enforce Data Quality Standards Build data quality checks, logging, monitoring, and alerting systems to ensure trustworthiness of data pipelines and datasets. Documentation and Best Practices Maintain comprehensive documentation of systems, processes, and code. Champion and enforce engineering and

Product Data Analyst TLV, Tel Aviv, Israel We're looking for a Product Data Analyst to help us find the opportunities hiding in our data and turn them into real product improvements. You'll be part of the Analytics team, embedded in product decisions from early question to final recommendation. You will be tackling analytical questions, monitoring the metrics that matter, and surfacing insights that actually change how we build We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll: - Collaborate with Analytics, Product, and Data teams to sharpen business decisions. - Initiate analyses and generate reports for feature tracking, experiments, and product health monitoring - Design A/B tests across our flows and processes to build better products - Analyze data using Snowflake, Python, and other platforms - Present key findings to stakeholders across the company, turning data into clear, actionable direction - Map new data domains and identify signals that push our product forward What you'll need: - 3+ years of experience as a data, product, or business analyst, ideally at a fast-growing consumer company - A degree in Industrial

Senior Data Scientist, Costing North Bethesda, MD Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models Write software to prepare, clean, and sample data for use in developing predictive models Use cloud resources (e.g., Amazon Web Services) to prepare and process data Query and extract data from databases (Snowflake) Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm Solve challenging, uncharted problems Work in an environment that thrives on teamwork and continuous learning opportunities Qualifications: Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or Ph.D. in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization

Staff Enterprise AI Engineer New York, New York ABOUT THE ROLE Peloton is looking to transform our enterprise tech strategy with AI adoption. We are looking for a Staff Enterprise AI Engineer to serve as the "Founding Engineer" of our Enterprise AI Platform.This is not a traditional Data Science role. You will not spend your days tweaking hyperparameters. Instead, you will architect and build the Operating System that enables our Product, People, and Operations teams to deploy AI Agents safely and at scale. You will act as a "Player/Coach," laying the technical foundation (Infrastructure, Security, Orchestration) while guiding a team of engineers to execute the vision. You will build the "Golden Path" that helps everyone at Peloton to leverage AI securely for the competitive advantage of Peloton. YOUR DAILY IMPACT AT PELOTON - Architect the "Intelligence & Integration" Layers - Design and build a scalable Agentic Orchestration Platform (using LangChain, LangGraph, or custom frameworks) that allows internal developers to spin up autonomous agents. - Implement the "Integration Layer" ensuring all AI agents connect to internal APIs (Workday, Snowflake, SAP) via secure, standardized protocols (Model Context Protocol - MCP). - Solve the "State Problem" for AI, architecting memory stores (Vector DBs like Pinecone/Weaviate) that persist context across user sessions. - Enforce "Security by Design" - Partner with Security leadership to implement Identity Propagation. Ensure agents execute tasks using the user's specific OAuth scopes, preventing privilege escalation. - Build "Data Clean Rooms" and PII masking pipelines to ensure sensitive member or employee

SMTS, Zuora Revenue System Engineer India - Hyderabad Senior Member of Technical Staff (SMTS) - Zuora Revenue (RevPro) Digital Enterprise Technology (DET) is seeking a Senior Member of Technical Staff (SMTS) to join our Finance Engineering team, specializing in Zuora Revenue (RevPro) . This role focuses on designing, implementing, and optimizing revenue accounting solutions aligned with ASC 606 , enabling accurate and scalable revenue recognition across enterprise systems. The ideal candidate brings strong expertise in Zuora Revenue configuration, data integration, and revenue lifecycle processes , along with solid technical skills in APIs, SQL, and data platforms like Snowflake . This role partners closely with Finance, Accounting, and upstream system teams to ensure accurate data flow, reconciliation, and compliance. Key Responsibilities Design, configure, and support Zuora Revenue (RevPro) for revenue recognition, contract modifications, and compliance with ASC 606 Manage revenue lifecycle processes including booking, allocation, recognition, and reconciliation Build and maintain integrations between upstream systems (e.g., Salesforce) and Zuora Revenue using APIs, ZOQL, and middleware tools Develop and optimize data pipelines and transformations using SQL and Snowflake scripting Configure and enhance Zuora workflows, data queries, and automation processes Troubleshoot revenue discrepancies, data issues, and month-end close challenges Collaborate with Finance and Accounting teams to translate requirements into scalable technical solutions Support DevOps and deployment processes, ensuring smooth releases and production stability Create and maintain technical documentation, including design specs, test plans, and runbooks Provide technical guidance, conduct code reviews, and mentor junior team members Stay current with Zuora Revenue capabilities and

Senior Data Engineer Bengaluru, Karnātaka, India Join our team as a Senior Data Engineer and help build scalable, high-impact data platforms supporting analytics and operations. Leverage your expertise in Snowflake, SQL, and Python to optimize data pipelines, collaborate with cross-functional teams, and drive innovation in a dynamic, hybrid work environment. Shape the future of data-driven decision-making with us.