Senior Data Platform Manager

About the role

The Senior Data Platform Manager will lead the design, development, and lifecycle management of scalable, reliable, and efficient data pipelines and architectures. They will partner with business and technical stakeholders to define data requirements and deliver solutions. The role involves leveraging Microsoft Fabric (Lakehouse/Warehouse/OneLake as applicable) to implement scalable and secure data storage, processing, and semantic model strategies. Responsibilities also include implementing and maintaining security and governance practices, supporting a healthy delivery process, evaluating and implementing new tools, technologies, and processes to improve data infrastructure, leading and mentoring a team of data engineers and power BI developers, and staying current with Microsoft analytics platform capabilities.

Responsibilities

• Lead the design, development, and lifecycle management of scalable, reliable, and efficient data pipelines and architectures.
• Partner with business and technical stakeholders to define data requirements and deliver solutions.
• Leverage Microsoft Fabric (Lakehouse/Warehouse/OneLake as applicable) to implement scalable and secure data storage, processing, and semantic model strategies.
• Implement and maintain security and governance practices (workspace strategy, permissions, RLS/OLS, endorsement/certification practices, and documentation).
• Support a healthy delivery process by contributing to standards, code reviews, and deployment practices (e.g., dev/test/prod, version control, and release coordination) as well as maintaining data security, compliance, and privacy standards.
• Manage project priorities, timelines, and resource allocation to ensure timely delivery.
• Evaluate and implement new tools, technologies, and processes to improve data infrastructure.
• Lead, mentor, and grow a small team of data engineers and power BI developers, fostering a culture of collaboration, accountability, and continuous improvement.
• Stay current with Microsoft analytics platform capabilities and recommend enhancements that improve usability, reliability, and value.

Qualifications

• Education, Knowledge, and Experience:
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or at least 9 years of professional experience.
• 5–8+ years of experience in data engineering or related roles, including at least 2 years managing or leading engineering teams.
• Strong proficiency in SQL and at least one programming language (e.g., Python, Java, Scala), with hands‑on experience building data pipelines using tools such as Airflow, dbt, or Spark.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and a deep understanding of data warehousing technologies (e.g., Snowflake, Redshift, BigQuery).
• Experience with governance frameworks, environment strategy, data security, compliance, and regulatory requirements is preferred.
• Experience with distributed systems and large-scale data processing, as well as working in an agile environment using tools like Jira and Confluence.

Skills

• Strong communication skills, with the ability to clearly explain technical concepts to non‑technical stakeholders and senior leaders, incorporate feedback, and align on solutions.
• Proven ability to work effectively with both technical and non‑technical internal and external partners, ensuring clarity, collaboration, and shared understanding.
• Ability to manage multiple concurrent deliveries in a fast‑paced environment, demonstrating strong ownership, accountability, a team‑oriented mindset, and a commitment to high‑quality outcomes.
• Collaborative and team‑oriented, with the ability to mentor others, establish standards, and drive adoption of best practices across the organization.
• Experience collaborating with stakeholders to define requirements, communicate tradeoffs, and deliver analytics; preferred experience with Microsoft tools such as Azure Data Services, Microsoft Fabric, Power BI, or Azure DevOps.

Disclosures

Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.