Senior Manager, Data Engineering

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Direct the Data Engineering team and establish the technical vision for the data platform.

• Take ownership of the architecture, reliability, performance, and ongoing development of Snowflake, PostgreSQL, and data pipelines.

• Spearhead the transition to a Medallion architecture, setting standards for data ingestion, transformation, modeling, testing, documentation, and consumption.

• Manage and enhance the modern data stack, which includes Snowflake, dbt, Fivetran, Meltano, PostgreSQL, AWS, and associated technologies.

• Collaborate with application engineering teams on the design of transactional databases, schema modifications, performance optimization, scalability, and reliability.

• Engage with Engineering, Analytics, Product, Finance, Risk, Marketing, and other business units to transform data requirements into reusable solutions.

• Establish engineering practices that focus on data quality, automated testing, observability, lineage, security, documentation, and incident response.

• Enhance self-service data access.

• Monitor and fine-tune the platform for optimal performance, scalability, and cost efficiency.

• Develop a long-term roadmap that balances current business demands with future platform requirements, including AI applications.

• Guide, mentor, and cultivate a proficient team of Data Engineers.

• Set technical standards and expectations while empowering engineers with ownership.

• Engage in architecture and design discussions and offer technical support as necessary.

• Assist in prioritizing tasks based on business impact, technical risk, reliability, and long-term value.

• Foster a culture centered on data quality, testing, documentation, and operational reliability.

• Articulate technical decisions, tradeoffs, risks, and investments to both technical and non-technical teams.

⛳️ Requirements

• Minimum of 6 years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related discipline.

• At least 2 years of experience leading or managing Data Engineers or other technical teams.

• Extensive experience with Snowflake, dbt, SQL, and contemporary ELT or ETL architectures.

• Deep understanding of PostgreSQL or comparable relational databases, encompassing schema design, indexing, query performance, and reliability.

• Familiarity with data ingestion and integration tools such as Fivetran, Meltano, or equivalent technologies.

• Experience with dimensional modeling, Medallion architecture, or other modern warehouse design methodologies.

• Strong knowledge of data quality, automated testing, observability, lineage, governance, and security.

• Experience managing cloud-based data platforms, with insight into performance and cost considerations.

• Ability to conceptualize at both the architectural and implementation levels when necessary.

• Excellent communication skills and the capability to collaborate effectively across Engineering, Analytics, business teams, and leadership.

• Proficiency in Python or Ruby for automation, tooling, or data processing.

• Experience in financial services or another regulated sector.

• Background in supporting analytics or AI applications.

• Experience with data catalogs, data contracts, or master data management.

• Proven experience leading a significant modernization effort for a warehouse or data platform.

• Experience utilizing AI and automation to enhance engineering productivity, monitoring, documentation, or data quality.

🏝️ Benefits

• Flexible Paid Time Off.

• Comprehensive Health Benefits that include generous medical, dental, and vision insurance plans.

• 401(k) with matching contributions.

• Paid Family Leave.

• Annual Wellness & Work From Home Subsidies.

• Employee Referral Program.

• Remote-first culture with a convenient downtown office located in the heart of the city.