Job Description
As the Manager of Data Engineering, you will lead, mentor, and develop a high-performing team of engineers focused on cloud-native data products. You will serve as a technical leader and strategic partner, ensuring that data-driven features are seamlessly integrated into internal and external solutions. You will be responsible for the architecture, design, and implementation of an expanding data platform that supports APIs, self-service reporting, and real-time data enrichment.
Core Responsibilities
Team Leadership: Manage a team of data engineers, overseeing career growth, goal setting, and performance management.
Technical Direction: Drive the architecture and design of a cloud-native data platform utilizing the Microsoft Azure stack (Synapse, Data Lake, Databricks).
Operational Excellence: Lead team progression through Agile delivery, DevOps maturity, and CI/CD process optimization.
Collaboration: Partner with IT leadership, Product owners, and business stakeholders to translate evolving requirements into scalable technical features.
Standards & Best Practices: Promote and enforce high standards for data modeling, pipeline development, and system interfaces (batch and real-time).
Financial Oversight: Manage basic departmental budgeting, including invoice processing and financial documentation.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Experience:
Minimum of 6 years in a Data Engineering role.
2+ years of experience in a leadership or management capacity.
3+ years of hands-on experience with Azure Data Services (Data Factory, Databricks, ADLS, Synapse, SQL DB).
Technical Expertise:
Expertise in SQL and relational database management.
Strong proficiency in Azure Data Factory and Databricks.
Deep understanding of real-time and batch data processing, transformation, and modeling.
Experience with Azure DevOps or GitHub for code management and CI/CD.
Professional Skills:
Proven ability to multi-task and reprioritize in dynamic, fast-paced environments.
Outstanding written and verbal communication skills.
Ability to solve complex problems and interpret intricate data sets.
Education: Bachelor’s degree in Information Technology, Computer Science, or a related data field (or equivalent experience).
Nice to Have Skills & Experience
Advanced Experience: 8+ years of total data engineering experience; 5+ years specifically within the Azure ecosystem.
Architecture: 1–3 years of experience in data architecture activities (evaluation, design, and implementation).
Cloud Ecosystems: Familiarity with NoSQL databases (e.g., CosmosDB) or experience with Snowflake.
Development & Tooling:
Proficiency in Python or DAX.
Experience with Azure Logic Apps, Azure Functions, or IoT technologies.
Knowledge of PowerBI or Power Apps.
Legacy/Alternative Platforms: Experience with SSIS, Informatica, Teradata, or Oracle DB.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.