Lead Data Engineer – Governance

Role Overview

Lead the design, implementation, and continuous improvement of enterprise-wide data quality frameworks, standards, and best practices. Define, monitor, and report on data quality KPIs, scorecards, and SLAs to measure data health across critical business domains.

What You Will Do

Develop and maintain automated data quality checks, validation rules, reconciliation processes, and exception reporting frameworks. Write and optimize complex SQL queries to analyze, validate, and reconcile large and complex datasets across multiple source systems.

Why It Might Be a Fit

The ideal candidate will have a strong background in data quality, governance, and analytics, with experience leading data quality initiatives and projects. They will be able to influence both business and technical teams and have excellent analytical, problem-solving, communication, and collaboration skills.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Engineering, or a related quantitative field.
• Minimum 7+ years of experience in Data Analytics, Data Quality, Data Governance, Business Intelligence, or related disciplines.
• Proven experience leading data quality initiatives, projects, or teams within complex enterprise environments.
• Advanced proficiency in SQL with hands-on experience querying, validating, reconciling, and analyzing large-scale datasets.
• Strong programming skills in Python with experience developing automation solutions, data validation frameworks, APIs, and analytical workflows.
• Experience applying AI/ML techniques, statistical analysis, or anomaly detection models to improve data quality, monitoring, and decision-making processes.
• Experience working with modern cloud data platforms such as Databricks, Snowflake etc.
• Solid understanding of data warehousing concepts, data modeling, ETL/ELT processes, data lifecycle management, and data governance principles.
• Familiarity with Generative AI tools, AI-assisted analytics, automation frameworks, and modern data quality/observability platforms.
• Excellent analytical, problem-solving, communication, stakeholder management, and cross-functional collaboration skills, with the ability to influence both business and technical teams.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Retirement plan
• Paid holidays
• Flexible work arrangements