DBX - Solutions Architect

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering Verified - from the job posting source checked Jun 20, 2026

Seniority

Staff Plus Verified - from the job posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Public-company Verified - from the job posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

DBX - Solutions Architect IN-KA-Bangalore, India (SKAV Seethalakshmi) GESC Position: DBX - Solutions Architect Job Description: What you'll be doing: Lead the design and implementation of scalable, secure, and high-performing data solutions using Azure Databricks, Delta Lake, and Delta Live Tables. Own the complete architecture process, including requirements gathering, solution design, documentation, technical reviews and implement advanced data solutions on the Databricks platform. Define best practices for cloud data architecture, data modeling, ELT/ETL pipelines, workspace setup, cluster management, repos, and job orchestration. Coordinate and communicate with onshore and offshore teams, including end-users, data engineers, reporting specialists, and business analysts. Ensure solution compliance with data privacy, security, and governance standards. Conduct performance tuning and optimization of Databricks clusters. Ensure data quality, lineage, and observability across all pipelines. Monitor and troubleshoot data pipelines to ensure data quality and reliability. Lead the integration of Databricks with other data platforms and tools. Create processes and workflows to support data solutions documents, and lead solution reviews and audits for quality Stay updated with industry best practices, Databricks and Azure developments, and introduce improvements to the technical stack. What we're looking for: At least 10 years of experience in enterprise data architecture, including design and implementation of large-scale data platforms a nd 5+ years of relevant data engineering experience on Databricks. Strong expertise in: Databricks (Workspace, Clusters, Jobs, Repos, Delta Live Tables) Deep hands-on expertise with Azure Databricks, PySpark, Delta Lake, Unity catalog, MLflow, DBT, and associated Azure data services (Data Lake, SQL, Synapse, ADF). Proven

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