
201 - 500 employees
Onebridge is a BI, Data Analytics, and Enterprise Application Development consulting firm. We’ve served some of the largest healthcare, life-sciences, manufacturing, financial services, and government entities in the U.S. for over 15 years. 100% Employee owned and operated, Onebridge is a top “Best Places to Work” in Indianapolis for six years in a row.
🕒 May 4
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201 - 500 employees
Onebridge is a BI, Data Analytics, and Enterprise Application Development consulting firm. We’ve served some of the largest healthcare, life-sciences, manufacturing, financial services, and government entities in the U.S. for over 15 years. 100% Employee owned and operated, Onebridge is a top “Best Places to Work” in Indianapolis for six years in a row.
• Architect and guide implementation of Databricks‑based data platforms, leveraging Lakehouse and Medallion architecture best practices. • Provide hands‑on technical leadership across data engineering, analytics, and AI‑enabled use cases using Databricks. • Define and enforce data governance, security, and access control standards using Databricks Unity Catalog and enterprise data management principles. • Enable and support AI/ML workloads, including ML pipelines and model lifecycle integration within the Databricks ecosystem. • Optimize platform performance, scalability, and cost efficiency with a FinOps‑oriented mindset. • Collaborate closely with business leaders, architects, and engineering teams to align platform capabilities with enterprise data and analytics needs. • Serve as a resident technical authority, providing architectural guidance, mentoring teams, and ensuring solution quality and consistency.
• 10+ years of overall experience in data engineering, data architecture, or analytics engineering roles. • 5+ years of hands‑on experience with Databricks, including Delta Lake, Unity Catalog, Workflows/Jobs, and Lakehouse architecture. • Databricks Professional Certification (MANDATORY). • Strong expertise in Apache Spark (PySpark preferred), Python, and advanced SQL. • Proven experience designing and implementing production‑grade, large‑scale data pipelines. • Hands‑on experience with at least one major cloud platform (Azure preferred, AWS or GCP acceptable). • Experience with data modeling, Medallion architecture, and enterprise data platform design. • Familiarity with CI/CD pipelines, infrastructure automation tools (e.g., Terraform), and Agile delivery practices. • Strong communication and stakeholder‑facing skills, with experience operating in regulated enterprise environments.
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
Apply Now🕒 May 4
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