Senior Manager, Data Engineering

• →Lead, mentor, and develop a strong team of Data Engineers
• →Set clear technical standards and expectations while giving engineers ownership of their work
• →Participate in architecture and design decisions, challenge assumptions, and step in technically when needed
• →Help the team prioritize work based on business impact, technical risk, reliability, and long term value
• →Create a culture where data quality, testing, documentation, and operational reliability are treated as part of the product
• →Communicate technical decisions, tradeoffs, risks, and investments clearly to both technical and nontechnical teams

• 6+ years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related field
• 2+ years of experience leading or managing Data Engineers or other technical teams
• Strong experience with Snowflake, dbt, SQL, and modern ELT or ETL architectures
• Strong understanding of PostgreSQL or similar relational databases, including schema design, indexing, query performance, and reliability
• Experience with data ingestion and integration tools such as Fivetran, Meltano, or similar technologies
• Experience with dimensional modeling, Medallion architecture, or other modern warehouse design patterns
• Strong understanding of data quality, automated testing, observability, lineage, governance, and security
• Experience operating cloud based data platforms and understanding performance and cost tradeoffs
• Ability to think at both the architecture level and the implementation level when needed
• Strong communication skills and the ability to work effectively across Engineering, Analytics, business teams, and leadership

• Experience with Python or Ruby for automation, tooling, or data processing
• Experience in financial services or another regulated industry
• Experience supporting analytics or AI applications
• Experience with data catalogs, data contracts, or master data management
• Experience leading a significant warehouse or data platform modernization effort
• Experience using AI and automation to improve engineering productivity, monitoring, documentation, or data quality

Benefits & Perks:

• Flexible Paid Time Off
• Health Benefits with generous medical, dental and vision insurance plans
• 401(k) with matching contribution
• Paid Family Leave
• Annual Wellness & WFH Subsidies
• Employee Referral Program
• Remote first culture with convenient downtown office in the heart of the city

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