Senior Data and Analytics Engineer - Team Lead

Business Process & Strat. Associate Dir.

Job Summary

We are seeking a highly experienced Senior Data & Analytics Engineer (G11) who will also serve as a team lead/manager, combining deep technical expertise with strong leadership capabilities.

This role is responsible for driving the design and delivery of scalable data solutions on Microsoft Azure, while leading a team of data engineers, ensuring high-quality execution, and aligning data initiatives with business strategy.

The ideal candidate brings a balance of hands-on engineering excellence, team leadership, and stakeholder management, enabling data-driven decision-making across the organization.

Key Responsibilities

Technical Leadership & Delivery

• Own the end-to-end design, development, and delivery of enterprise-grade data architectures on Azure.
• Define and enforce best practices, standards, and governance for data engineering and analytics.
• Architect and oversee ETL/ELT pipelines, data models, and scalable processing solutions using Azure Databricks.
• Lead implementation of Microsoft Fabric solutions (Lakehouse, Data Engineering, Data Factory, Power BI integration).
• Ensure high performance, scalability, and reliability of data platforms.

People Management & Team Leadership

• Lead, mentor, and manage a team of data engineers (including hiring, onboarding, and performance management).
• Provide technical direction, coaching, and career development for team members.
• Allocate work, set priorities, and ensure timely delivery of projects.
• Foster a collaborative, high-performance engineering culture.

Stakeholder & Strategic Alignment

• Act as a bridge between business and technology, translating business needs into scalable data solutions.
• Partner with product owners, business stakeholders, and leadership to define data strategy and roadmap.
• Provide technical advisory and thought leadership on data platform evolution.

Governance, Quality & Compliance

• Ensure data security, compliance, and governance standards are implemented and maintained.
• Oversee data quality frameworks, monitoring, and operational excellence.
• Drive continuous improvement in processes, tools, and engineering practices.

Required Skills & Experience

Mandatory

• 10+ years of experience in data engineering, analytics, and database management.
• Proven experience in a technical leadership or team management role (leading teams, not just mentoring).
• 5+ years of hands-on experience with Microsoft Azure (must-have).
• Strong expertise in SQL (query optimization, performance tuning).
• 3+ years of experience with Python, including exposure to Machine Learning concepts.
• 3–5 years of experience with Azure Databricks.
• Experience with Microsoft Fabric (minimum 1 year).
• Hands-on experience with ETL tools (Azure Data Factory, Informatica, Talend, SSIS, etc.).
• Strong knowledge of data modeling, data warehousing, and architecture design.

Leadership & Soft Skills

• Demonstrated ability to lead and scale engineering teams.
• Strong decision-making, problem-solving, and conflict resolution skills.
• Excellent communication and stakeholder management abilities.
• Experience managing project delivery, timelines, and resource planning.

Nice to Have

• Experience in Agile/Scrum delivery models.
• Exposure to data governance frameworks and enterprise data strategy.
• Certifications in Azure (Data Engineer/Architect).

Experience Level

Mid Level