Data Engineer - Manager

Key Responsibilities

• Design, develop, and maintain scalable and resilient data pipelines for ingesting, transforming, and delivering data from diverse internal and external sources.
• Integrate data across databases, data warehouses, APIs, and third-party platforms while ensuring data accuracy, consistency, and integrity.
• Apply data cleansing, validation, aggregation, enrichment, and transformation techniques to prepare analytics-ready datasets.
• Optimize data pipelines and processing workflows for performance, scalability, reliability, and cost efficiency.
• Monitor and tune data systems; identify performance bottlenecks and implement indexing, caching, and optimization strategies.
• Embed data quality checks, validation rules, and governance controls directly within data pipelines.
• Collaborate with architects, data scientists, AI engineers, and analysts to support advanced analytics, business intelligence, and AI/ML use cases.
• Clearly communicate complex technical concepts to both technical and non-technical stakeholders, including senior leadership.

Required Experience & Qualifications

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related quantitative field.
• 8+ years of experience in data engineering, including:
• Strong programming experience with Python, SQL, Java, and/or C#.
• Hands-on Experience With Modern Data Platforms And Tools, Including:
• Data modeling and architecture
• ETL / ELT and data integration
• Data warehousing and analytics platforms
• Data quality, master data management, and governance
• Business intelligence and advanced analytics (predictive and prescriptive)
• Microsoft Azure technologies (SQL Server IaaS/PaaS, Synapse, Cosmos DB, Azure Data Factory, Databricks, HDInsight, Fabric, Power BI)
• Informatica Cloud (CIH, DIH, CDGC, Master Data Management, Data Quality)
• Snowflake and other leading cloud data technologies

Desirable Characteristics

• Certifications in relevant technologies listed above.
• Previous experience in the professional services or accounting industry.
• Previous client service or consultative experience.
• Previous experience working in a managed service provider environment.