Sr. Manager, Data Engineering

About the Role

Key Responsibilities

• Play a crucial role in defining the strategy for enterprise business intelligence tools, processes, and capabilities.
• Work closely with Analytics, Decision Science and Business teams to gather feedback on existing tools and help pilot new tools and capabilities.
• Lead the design and implementation of cloud-based data architectures and data models used for self-service analytics through Power BI.
• Oversee the design, development, and maintenance of data pipelines, warehouses, and other data infrastructure, ensuring data accuracy, reliability, and security.
• Collaborate with cross-functional teams to understand business needs and translate them into data engineering solutions.
• Craft a bold, exciting vision for BI and drive transformative innovation to enable next-gen data capabilities, especially through AI and self-serve analytics.
• Identify and implement innovative approaches to streamline data processes and improve data quality and efficiency.
• Provide technical leadership responsibilities and improve engagement in leading and inspiring teams in their performance and responsibilities.
• Effectively translate data complexity into clear, actionable insights for leaders while advocating for the team's impact to the business.
• Lead and mentor a team of data engineers, fostering a culture of innovation, continuous learning, and operational excellence.
• Define and implement best practices for data engineering, architecture, and operations.
• Stay ahead of industry trends and emerging technologies to drive innovation and enhance the organization's data capabilities.
• Create a collaborative, performance-driven work environment by facilitating and fostering trust, transparency, and inclusion.
• Work with team members to set clear goals, provide feedback, perform performance assessments, and support ongoing development.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 10+ years of experience in data architecture, data engineering, or business intelligence, with a focus on cloud platforms (Azure preferred).
• Expertise in SQL, developing ETL/ELT pipelines, and managing large-scale data processing.
• Experience with Azure Data Lake, Spark, Airflow, Databricks, and other data services.
• Strong proficiency in Python for data transformation, automation, and analytics.
• Experience with CI/CD frameworks and version control tools for automated deployment and testing of data solutions.
• In-depth knowledge of relational databases and cloud environments.
• Strong understanding of data modeling, governance, and security best practices in cloud environments.
• Strong analytical, problem-solving, and communication skills, with the ability to translate business needs into technical solutions.
• Experience leading and mentoring a team of data professionals.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 10+ years of experience in data architecture, data engineering, or business intelligence, with a focus on cloud platforms (Azure preferred).