Sr Business Analysis Manager - Data Engineering

About the Role

Key Responsibilities

• Design, develop, and maintain scalable data pipelines that ingest and transform data from various sources into ADLS and Unity Catalog-based architectures using SQL, PySpark, and Delta Lake.
• Build curated and enriched datasets, combining raw data into unified views to support reporting and analytical use cases.
• Ensure data quality, consistency, and completeness through rigorous validation, observability metrics (e.g., freshness, anomalies), and data quality checks.
• Work closely with marketing analysts, data scientists, and business partners to translate analytical requirements into reliable data assets.
• Partner with platform and delivery teams to ensure accurate data ingestion, cataloging, and governance compliance.
• Document data assets comprehensively and ensure they meet governance, privacy, and compliance standards.
• Build and maintain interactive dashboards and reporting frameworks (e.g., Tableau) to deliver actionable insights and metric monitoring.
• Adapt to changes in business needs, proactively adjusting reporting and insights to support evolving objectives.
• Champion innovation in data strategy by staying informed on collaborator needs, media trends, tools, and emerging methodologies.

Requirements

• Bachelor's degree in a quantitative field (e.g., Computer Science, Data Engineering, Information Systems) or equivalent; Master's preferred.
• 5+ years of experience in data engineering with a focus on analytical/marketing data workflows.
• Proficient in SQL and PySpark, with experience in Azure Data Lake Storage (ADLS), Unity Catalog, Snowflake, or similar platforms.
• Strong understanding of data warehousing, dimensional modeling, and ETL/ELT pipelines.
• Strong communication and interpersonal skills to collaborate effectively across teams.
• Demonstrated ability to manage multiple priorities in a fast-paced, collaborative environment.
• Passion for media analytics, continuous improvement, and data-driven decision-making.

Nice to Have

• Experience mentoring junior engineers or contributing to team-wide technical decisions.
• Experience in data visualization and dashboarding tools such as Tableau or Power BI.
• Familiarity with paid media channels and AdTech platforms like Meta Ads, Google Ads, DV360, Adobe Analytics.

Qualifications

• At least 18 years of age.
• Legally authorized to work in the United States.

Benefits & Perks

• Competitive base salary and compensation package including annual stock grant, employee stock purchase plan, and 401(k).
• Access to free, year-round money coaching.
• Comprehensive medical, dental, and vision insurance.
• Flexible spending account, paid time off, and up to 12 paid holidays annually.
• Paid parental and family leave, family building benefits, back-up care, childcare subsidy, tuition assistance, and college coaching.
• Disability, voluntary AD&D, accident, life, and long-term care insurance.
• Mobile service & home internet discounts, pet insurance, and transit programs.