Job Details

Join us to design end to end data and analytics solutions using Databricks, Immuta, Starburst, Collibra, and AWS. In this role, you will develop reusable data management patterns, provide technical leadership to the data engineering team and collaborate with cross functional teams to drive measurable value.

Responsibilities:

• Design and implement data mesh and data lake solutions in AWS using Databricks, Starburst, Collibra, and Immuta.
• Develop reusable data management patterns and participate in architectural reviews.
• Provide technical leadership and set best practices for scalable, secure data solutions.
• Collaborate with cross-functional teams to deliver analytics solutions that drive business value.
• Define and enforce data quality standards, governance, and best practices.
• Optimize pipelines, queries, and infrastructure for performance and efficiency.
• Identify and mitigate data security, compliance, and resilience risks.
• Lead discussions to shape future-state architecture and enterprise strategy.
• Support change management, architecture governance, and IT strategy initiatives.
• Research emerging technologies to modernize and innovate data platforms.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Computer Engineering, or a related field.
• At least 7 years of experience managing projects across the full lifecycle, design, development, testing, implementation, and production.
• Expertise in data engineering and analytics tools, including Databricks, Immuta, Starburst, Collibra, and AWS.
• Subject matter expertise across multiple solution patterns and architectures.
• Proven experience in building and leading high-performing teams.
• Advanced skills in enterprise consulting, strategic thinking, and emerging technologies.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Banking