Databricks Lead

At Staffworxs, we don’t just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world’s top brands, who continue to retain us as their trusted partner. If you’re ready to make an impact, you’re in the right place.

We are seeking a hands‑on, highly capable Lead Data Engineer / Databricks Tech Lead to lead the design, build, modernization, and ongoing evolution of customer‑data platforms supporting a large‑scale retail and digital ecosystem.

This person will be the onsite technical lead, work independently with business and technology stakeholders, and provide technical direction to both onsite & offshore engineering teams. The ideal candidate is fundamentally strong in data engineering and distributed data systems, has deep Databricks expertise
, communicates clearly with both technical and non‑technical partners, and can turn ambiguous business needs into scalable, production‑ready data solutions.

• Strong hands‑on PySpark and SQL capability.
• Ability to independently design, troubleshoot, and deliver data‑platform solutions.
• Proven technical‑lead experience - not only project coordination.
• Strong verbal communication and stakeholder‑facing maturity.
• Experience guiding a distributed engineering team.
• Availability to work onsite in Cincinnati, Ohio.

• Lead the technical design, architecture, and implementation of large‑scale data engineering solutions on Databricks.
• Design and build scalable, reliable, and maintainable data pipelines, data models, workflows, and data products for customer, loyalty, coupon, retail, and digital‑platform data.
• Establish and evolve a modern Databricks Lakehouse architecture, including data ingestion, transformation, orchestration, quality validation, serving layers, and operational monitoring.
• Develop production‑grade data pipelines using PySpark, SQL, Delta Lake, and Databricks‑native capabilities.
• Lead modernization initiatives for customer‑data and analytics platforms, including assessment, target‑state architecture, migration planning, implementation, validation, and production rollout.
• Define and enforce data engineering standards for coding, testing, CI/CD, code review, documentation, observability, performance optimization, and cost management.
• Drive best practices for data quality, schema evolution, data lineage, metadata, governance, access control, and privacy‑sensitive customer data.
• Work closely with application engineering, product, analytics, business, architecture, security, and infrastructure teams to gather requirements and align delivery plans.
• Translate business and customer‑data use cases into logical and physical data models, scalable pipelines, and reusable platform components.
• Act as the onsite technical owner and point of escalation for the offshore Data Engineering team; provide clear work breakdown, technical guidance, code reviews, prioritization, and mentoring.
• Prepare effort estimates, technical designs, implementation plans, risks, dependencies, and rollout approaches for data engineering initiatives.
• Troubleshoot complex data, performance, pipeline, reliability, and production‑support issues.
• Communicate progress, risks, architecture decisions, and delivery status effectively to stakeholders and leadership.
• Champion continuous improvement across engineering practices, operational maturity,…