Job Details

Responsibilities:

• Design and implement data mesh and data lake solutions, focusing on data ingestion, validation, and orchestration utilizing Databricks, Starburst, Collibra, and Immuta within AWS environments
• Create reusable data management and integration patterns and review them during architectural review boards
• Provide technical leadership and expertise to the data engineering team on best practices for implementing solutions with our core technology stack
• Collaborate with cross-functional delivery teams to design scalable data and analytics solutions that deliver measurable business value
• Establish and enforce data quality standards, governance policies, and data management best practices
• Optimize data pipelines, queries, and infrastructure configuration to improve overall system performance
• Identify and mitigate risks associated with data engineering, ensuring data security, contingency, and compliance
• Lead and coordinate domain technical and business discussions on future architecture direction

Additional Responsibilities:

• Identify organizational requirements for resources, structures, and cultural changes to support change management initiatives
• Lead multiple architectural engagements across the organization
• Participate in IT strategy development, including environmental analysis, opportunity identification, and business innovation
• Develop business cases for approval of new architectural initiatives
• Develop and communicate domain-wide policies, standards, guidelines, and procedures
• Lead and facilitate architecture governance processes
• Conduct research and evaluation activities for emerging technology solutions.

Job Requirements:

• Bachelor's degree in Computer Science, Information Systems, Computer Engineering, or related field
• 7+ years of experience with all aspects of projects from design through development, testing, implementation, and production
• Advanced knowledge of data engineering and analytics tools, specifically Databricks, Immuta, Starburst, Collibra, and AWS
• Subject matter expertise across multiple solution patterns
• Strong understanding of business processes
• Demonstrated experience building and leading successful teams
• Advanced skills in business enterprise knowledge and consulting
• Advanced knowledge of emerging technologies
• Expanded capabilities in strategic thinking
• Program KSAs (Knowledge, Skills, Abilities)
• Advanced: Problem Solving, Communication for Results
• Expanded: System Thinking, Change Advocate, Flexibility, Initiative, Thoroughness
• Fundamental: Building Relationships

Stefanini is an equal opportunities employer and welcomes applications from diverse candidates.