Data Tech Lead

About the role

Defines data flows, including which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition. Develops, implements, and deploys custom data pipelines powering machine learning algorithms, insights generation, client benchmarking tools, business intelligence dashboards, reporting, and new data products.

Responsibilities

• Define reference architecture as a pattern that others can follow to create and improve data systems.
• Innovate new ways to leverage multiple large datasets to drive revenues via the development of new products with the Data Strategy team and enhanced delivery of existing products.
• Consume data from a variety of sources (relational DBs, APIs, NetApp and other cloud storage, FTPs) and formats (Excel, CSV, XML, parquet, unstructured).
• Construct and maintain data pipelines between internal/external sources and the data lake utilizing modern ETL frameworks.
• Act as data steward for high-value datasets and implement innovative quality assurance practices, including automated validation with frameworks like dbt or Great Expectations.
• Establish and implement metadata management standards and capabilities, including lineage mapping.
• Enforce strong development standards across the team through code reviews, unit/integration testing, and monitoring.
• Perform basic exploratory data analysis to create and validate requirements for data pipelines.
• Evangelize data engineering techniques and best practices throughout the company.
• Stay updated on the latest trends and innovation in data technology and apply them to GC's business and data strategy.

Schedule

Hybrid work arrangement, with colleagues expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week for full-team in-person collaboration.

Pay

The applicable base salary range for this role is $139,000 to $277,900. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. This position may also be eligible for performance-based incentives.

Benefits

• Health and welfare benefits
• Tuition assistance
• 401K savings and other retirement programs
• Employee assistance programs