Data Engineering Lead - 100% Remote

Data Engineering Lead 100% Remote Duration 12 months + Salary DOE US Citizens and those authorized to work in the U.S are encouraged to apply. We are unable to sponsor at this time.

Key Responsibilities

• Lead the definition and breakdown of technical deliverables, assessing complexities and levels of effort.
• Collaborate with vendor and internal teams to address technical issues.
• Drive planning and prioritization in conjunction with the SCRUM master.
• Coordinate with onsite and offshore teams for timely project delivery.
• Collaborate with product managers to prioritize features, communicate with stakeholders, and clarify requirements.
• Collect and manage user-reported issues, ensuring prompt resolution and communication.
• Define comprehensive test plans, oversee their execution, and document results.
• Prepare documentation and deliver user training to facilitate the adoption of new tools and features.
• Design and implement data architecture and strategy, leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
• Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality.
• Design and maintain data models and schemas, incorporating Unity Catalog and Collibra data governance practices.
• Ensure data security and compliance with regulations using Databricks and Privacera's features.
• Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
• Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups.
• Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions.
• Lead and guide a team of data engineers, providing technical direction and mentorship.
• Your expertise will be instrumental in shaping data-driven solutions, driving innovation, and ensuring the integrity and security of our data ecosystem. Your role will involve both technical leadership and hands-on contributions to deliver impactful results.

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