Lead, mentor, and develop a team of data engineers; support hiring and team growth
Own delivery of the data engineering roadmap, ensuring predictable execution through agile practices (sprint planning, prioritization, backlog management)
Partner cross-functionally with Analytics, BI, Data Governance, Product, and Technology teams to translate business needs into scalable data solutions
Oversee the design, reliability, and performance of data pipelines and models supporting Quicksuite and Looker
Establish best practices for data quality, testing, monitoring, and operational excellence
Communicate progress, risks, and technical concepts clearly to stakeholders and executive leadership
Enable high-quality data foundations for emerging AI/ML use cases

7+ years of experience as a Data Engineer
5+ years in a lead or managerial role within data engineering
Experience with tools such as DVP, Daxter, etc. that use Airflow as their module.
Proven success scaling teams and delivering data initiatives in growing organizations
Strong expertise with Snowflake, DBT, and AWS
Deep understanding of batch processing architectures; familiarity with streaming is a plus
Experience supporting BI and analytics platforms (Looker or similar)
Strong project management, agile delivery, and stakeholder communication skills

MC Tax Services

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