Databricks jobs

Senior Data Engineering Manager - T&T Region/Country Poland | State/Province/County All-Poland | City Lodz Senior Data Engineering Manager As a Senior Data Engineering Manager at McCormick, you will play a pivotal role in delivering the design, implementation and maintenance of data and analytics solutions from simple to complex and supporting McCormick AI engineers with their data needs. Your responsibilities will include implementing and maintaining data solutions delivering data required by McCormick AI solutions. You will work with Data Scientists and AI Engineers to convert business expectations into data solutions and data models used to deliver AI-driven recommendations to stakeholders and executives. Responsibilities Design and implement scalable ELT pipelines on an Azure analytics platform to ingest, harmonize and transform data into data models optimized for AI consumption. Write efficient and scalable code to transform and clean large volumes of data. Ensure performance, security and data integrity across end-to-end data processing. Cooperate with cross-functional teams to design and deliver new data solutions and improve and enrich existing ones. The role will report to the Azure Analytics Product Owner and requires close collaboration with the entire Enterprise Data Services team and McCormick AI team to conceptualize, visualize, and build an enterprise data management framework. Candidate Profile Proven experience with Azure Databricks. Proven experience with ML/AI tools. Proven experience with Azure Analytics toolset (Data Factory, Synapse, Storage Accounts, Key Vau

Director, Data & ML Platform India - Bangalore posted: Posted 11 Days Ago

Senior Data Scientist City Toronto | State/Province Ontario | Country Canada Req ID: 134618 Remote Position: Region: Country Canada State/Province: State/Province Ontario City Toronto Summary As the Specialist, SCM Data, you will be joining a team that embraces data and technology to develop advanced and innovative solutions. In this role, you will engage with Supply Chain cross functional business partners and facilitate building data pipelines and analytics projects to tailor solutions to business problems, using analytics to provide insights to enable incremental results. Detailed Description Key Responsibilities: ● Support ongoing data projects for Cost Productivity, Price Productivity, and First Quote Competitiveness. ● Data Pipeline: Gather required data, organize and manage the data, clean and prepare for modelling. ● Data Analysis: Support and maintain AI and Machine Learning Models for consumption by Business users. ● Story Telling: Develop dashboards and recurring reports to translate data & information into insight. ● AI/ML Solution Development: Develop and deploy AI or machine learning models and algorithms to solve complex business problems. ● Dedication to ensuring your work is well documented and version controlled. Knowledge/Skills/Competencies Experience using the following services/tools: 1. Microsoft Azure cloud services: Azure Data Factory, Azure Databricks, Azure ML. 2. Google Cloud Platform: Vertex AI, BigQuery, Cloud Storage, and other services. 3. Machine Learning, Good to have Natural Language processing and Deep Learning. 4.

Senior Data Engineer - Data Bricks CHENNAI, India This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance bu...

Director, Field Engineering Toronto, Canada Req ID - FEQ227R94 Location: Toronto, ON While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Ontario also will be considered. We are looking for a Director, Field Engineering in Canada to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in Canada across the financial services, manufacturing, energy, public sector, healthcare and life sciences, retail and consumer goods, communications, media and entertainment business. Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the Technical GM - Canada. The impact you will have - Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects - Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture - Support increased return on investment of Solutions Architect involvement in sales cycles - Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift

Lakewatch Strategic Sales Lead EMEA Munich, Germany SLSQ427R274 Databricks is seeking a Lakewatch Sales Specialist to help security teams modernise their SIEM with an open, agentic platform that unifies security, IT, and business data for AI-driven detection and response. As a Strategic Sales Lead owning all of EMEA business, you will partner with regional account teams to make Lakewatch the strategic choice for customers looking to consolidate tools, cut SIEM costs, and defend at machine speed. The impact you will have - Hit and exceed Lakewatch ARR and pipeline targets in your coverage area, building a durable, data-driven Lakewatch business. - Replace or reduce legacy SIEM and log management tools, delivering clear customer savings while maintaining or improving detection and response outcomes. - Establish Lakewatch as the strategic security data platform in key accounts, with customers ingesting and retaining 100% of their security telemetry and using it alongside business data. - Drive high-impact SIEM and security analytics deals across the global DB700 by co-owning strategy and execution with core AEs and Cyber SMEs. - Run Lakewatch as a business: track revenue, pipeline, and competitive trends, and turn insights into focused account plans and repeatable plays. - Enable the field so AEs can independently qualify and position Lakewatch, reflected in growing pipeline and wins sourced by non-specialist sellers. - Represent Lakewatch in the market and internally, creating references, stories, and enablement that showcase its impact for security teams. What we look for - Extensive strategic enterprise SaaS sales experience with a

Staff Machine Learning Engineer Hybrid - Denver, Denver, Colorado, United States Ibotta is seeking a Staff Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We're looking for someone who has a passion for building scalable machine learning solutions using technologies and tools such as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Staff Machine Learning Engineer, you will act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, data systems, and large-scale ML platforms. This role will immediately impact ML strategy and drive impact through the support, guidance, and collaboration with multiple teams as part of our analytics organization. We're looking for a technical leader to further mature our current infrastructure and abstractions and identify new opportunities to add value through ML applications. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. Not based in one of these areas? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Lead the design,

Senior Data Engineer 4 Locations posted: Posted 30+ Days Ago

Head of Automation New York, New York (No H1B or OPT Visa Sponsorship will be provided). About Shelf: There is no AI Strategy without a Data Strategy. Getting GenAI to work is mission critical for most companies but 90% of AI projects haven't deployed. Why? Poor data quality - it is the #1 obstacle companies have in getting GenAI projects into production. We've helped some of the best brands like Amazon, Mayo Clinic, AmFam, and Nespresso solve their data issues and deploy their AI strategy with Day 1 ROI. Simply put, Shelf unlocks AI readiness. We provide the core infrastructure that enables GenAI to be deployed at scale. We help companies deliver more accurate GenAI answers by eliminating bad data in documents and files before they go into an LLM and create bad answers. Shelf is partnered with Microsoft, Salesforce, Snowflake, Databricks, OpenAI and other big tech players who are bringing GenAI to the enterprise. Our mission is to empower humanity with better answers everywhere. Head of Automation: The Head of Automation will spearhead Shelf's company-wide automation transformation, building and leading multiple specialized automation teams while establishing automation as a strategic function across all departments. This role combines deep technical expertise with strategic leadership to create AI-powered automation solutions that drive operational excellence throughout the organization. This is a foundational leadership role reporting to the CTO with strong involvement from the CEO. You'll be the architect of Shelf's automation strategy, leveraging our internal Shelf AI Platform to create intelligent agents

Staff Infrastructure Engineer New York Office, Brooklyn, New York, United States About Espresso AI Espresso AI's mission is to use machine learning to automate performance engineering. Today, we help our customers reduce Snowflake and Databricks SQL compute costs by up to 70%, unlocking massive efficiency gains without requiring any workflow changes. More and more businesses are adopting data warehouses to manage invaluable data analytics workloads. Unfortunately, the costs of these workloads often grow exponentially over time, with no easy way for users to reduce cost - until now. Our next-generation, AI-based approach saves our users huge amounts of money. We're a well-funded, early-stage startup scaling quickly. Our most recent round was led by Nat Friedman and Daniel Gross. About the Role As a Staff Infrastructure Engineer, you will design and build the distributed systems that power Espresso's optimization engine. You will work across real-time scheduling, workload execution, performance analysis, and the internal compute environments that allow us to safely and efficiently offload warehouse workloads. You will own major architectural components, drive reliability and performance improvements, and collaborate closely with founders and engineering on long-term technical direction. This is a highly technical role with deep systems work at its core. What You'll Work On - Design, build, and scale Espresso's distributed execution and scheduling systems - Develop internal compute environments to safely offload workloads from Snowflake and Databricks - Implement compiler-style analysis and optimization of SQL workloads - Build infrastructure and data pipelines that support ML modeling and product features -

Senior Data Engineer Job Location (US/Canada) MI-Southfield, Main Office | Job Location (UK) Career Site Header Job Summary The Senior Data Engineer is a key resource in building and maintaining a modern enterprise data lake and data warehouse in Sun's Azure data platform. They will facilitate modern data platform processes and procedures for Sun and will establish robust data governance and management best practices. The Sr. Data Engineer works under the leadership of the Manager, Data Architecture to ensure core enterprise data objectives are accounted for in the design and implementation of the data platform infrastructure. Further, they will liaison with key business leadership and stakeholders to ensure that the design, validation, and implementation of the new data platform infrastructure meets the needs of Sun's business. Job Duties Builds and maintains Azure data platform for Sun including enterprise data lake and data warehouse in alignment with Sun's strategic objectives and organizational goals (Essential) Incorporates Azure data platform best practices into Sun's Azure data platform (Essential) Develops policies and implements mechanisms for data ingestion into Azure data platform from various sources (Essential) Supports & mentors the data team on best practices & methodologies (Essential) Leads navigating challenging or technical situations to find best business outcomes (Essential) Works with Microsoft support to ensure an ongoing stable data system. Configures, validates, and implements various Azure tools such as but not limited to Databricks, Data F

Junior Data Engineer Kosice, Slovakia posted: Posted 14 Days Ago

Sr. Site Reliability Engineer Columbus, OH Immuta is the Data Provisioning Company, helping organizations provision secure, governed data access at the speed modern business demands. We automate access by policy and by request-eliminating tickets, reducing risk, and enabling both humans and AI systems to work with data safely and instantly. Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide and operates as a hybrid workplace globally. • Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. • Immuta has been recognized by Forbes as a top American startup employer, by Inc. Magazine and BuiltIn as one of the best workplaces, and by Fast Company as one of the top 50 most innovative companies. • $267 million in total funding. Lead investors include NightDragon, Snowflake, and Databricks, along with additional funding from ServiceNow, Citi Ventures, Dell Technologies Capital, DFJ Growth, IAG, Intel Capital, March Capital, Okta Ventures, StepStone, Ten Eleven Ventures, and Wipro Ventures. • A hybrid workplace with offices in Boston, MA; Columbus, Ohio; College Park, Maryland. ABOUT OUR TEAM At Immuta, the Site Reliability Engineering team defines what reliability means at scale. We are responsible for building and operating the infrastructure that supports Immuta's cloud platform, enabling engineering teams to deliver secure, reliable, and scalable services efficiently. The team partners closely with Engineering and Security to improve automation, platform resiliency, observability, and operational excellence across cloud environments. We focus on designing scalable systems, automating operational workflows, and improving the developer experience through

Associate Data Engineer India - Hyderabad posted: Posted 30+ Days Ago

Senior Data Engineer, AI and Systems Engineering Remote - Poland Role Description As a Senior Data Engineer on the CMDB and Asset Intelligence platform, you will help build the unified data foundation that powers asset visibility, cost optimization, and security insights across the company. You will design scalable pipelines and data models that bring together sources like ServiceNow, Okta, Oracle, and Jamf into a centralized lakehouse architecture, turning messy, multi-system data into trusted, decision-ready signals. This role is a chance to raise the bar on data quality and governance while building systems that teams actually rely on day to day. You will partner closely with IT, Security, and Finance to define what “good” looks like, deliver high-impact solutions, and shape the long-term direction of the platform. Our Engineering Career Framework is viewable by anyone outside the company and describes what's expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design and build scalable data pipelines using Databricks and Spark to ingest, transform, and unify data from multiple enterprise systems Develop and maintain medallion architecture (Bronze, Silver, Gold) data models to create reliable and performant “Golden Record” datasets Implement data normalization, mapping, and entity resolution techniques (e.g., fuzzy matching, XREF tables) to unify asset data across disparate systems Build data workflows to detect and surface Shadow IT across financial, identity, endpoint, and network signals and integrate results into CMDB systems Partner with IT, Security, Finance, Procurement, and

Enterprise IT Architect - Data 2 Locations posted: Posted 18 Days Ago

Data Engineer 2 Locations posted: Posted 30+ Days Ago

Strategic Hunter Account Executive - BFSI Melbourne, Australia SLSQ327R220 Strategic Enterprise Account Executive - BFSI Databricks is seeking a Strategic Enterprise Account Executive, specialising in the Financial Services Industry to join our team in Melbourne, Australia.This is a critical "Strategic Hunter" role focused on driving significant company growth. You will report directly to the Director of Enterprise Sales. The Impact You Will Have: - Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage. - Securing Strategic Committed Deals: Identify, structure and close opportunities to co-invest in high-priority initiatives to accelerate and de-risk projects delivery - Prospecting and Lead Generation: Use various strategies and resources, such as intent signals, account planning, and leveraging customer stories, to effectively prospect and target leads. - Prospect Engagement: Leverage BDRs, Marketing and Network to build relationships with key prospects in territory to displace incumbent technologies. - Sales Execution: Conduct first meetings with compelling POVs to create urgency for change. Create territory and account plans to prioritise pursuits. Engage in activities such as roundtables, bootcamps and industry events to build relationships and progress pipeline. - Pipeline Management: Maintain an accurate and updated Salesforce (SF) pipeline, create proof of concepts (POCs), and manage the sales cycle from initial contact to closing the deal. - Collaboration: Engage with architects, professional services engagement managers coordinate demand planning sessions, and align with executive sponsors to ensure a comprehensive approach to customer success. What We Look For: - Characteristics: - Takes initiative, is

Principal Machine Learning Engineer Hybrid - Denver, Denver, Colorado, United States botta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and contribute to our mission to Make Every Purchase Rewarding. We're looking for someone who has a passion for building scalable machine learning solutions using technologies and tools such as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Principal Machine Learning Engineer, you will act as a technical leader and delivery owner for complex, high-impact ML initiatives spanning foundation models, data systems, and large-scale ML platforms. This role will immediately define ML strategy and drive impact through the support, guidance, and collaboration with multiple teams as part of our analytics organization. You'll advance your technical leadership skills by establishing best practices for the team and company, while mentoring other Machine Learning Engineers and Data Scientists on the team. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. Not based in one of these areas? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: -

Senior Lead Data Engineer (Pyspark, ETL, Redshift, AWS, Data warehousing) IND - Karnataka - Bengaluru - North posted: Posted 28 Days Ago

Senior Data Engineer Vancouver, BC The Data Engineering team's mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by Product and Business Data Science teams to optimize our user adoption, growth, and experience. In this role, you will partner with the Infrastructure team to build a self-service analytics platform for the company. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve - Design, implement, and scale end-to-end data products that support growing data processing and analytical needs - Transform raw data into actionable insights to drive product strategy and power in-depth analyses and reporting - Leverage AI to build self-serve tools and accelerate Data/GTM workflows - Partner with data scientists, domain experts, and engineering teams to develop a roadmap that aligns with our business goals - Implement systems that guarantee data quality, governance, and availability About you - 5+ years of experience in Data Engineering or Software Engineering - Experience in data modeling and building scalable data pipelines involving complex transformations - Proficiency in data processing and storage technologies like Databricks, AWS/S3, Python/Scala/Java, SQL, Spark, and Airflow

Principal Data Architect IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago

Staff Engineer Data Scientist Singapore

Sr Staff Data Architect-18692 United States-Utah-Roy