About the company
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Manager, Data Engineering based in the United States. The position offers remote flexibility.
Responsibilities
- Lead the Data Engineering team, establish technical direction, and develop a long-term roadmap.
- Own the architecture, reliability, performance, scalability, and ongoing evolution of Snowflake, PostgreSQL, and data pipelines.
- Lead the transition to a Medallion architecture and define standards for data ingestion, transformation, modeling, testing, documentation, and consumption.
- Manage and optimize the modern data stack, including Snowflake, dbt, Fivetran, Meltano, PostgreSQL, AWS, and related technologies.
- Partner with application engineering teams on transactional database design, schema changes, query performance, scalability, and reliability.
- Collaborate with Engineering, Analytics, Product, Finance, Risk, Marketing, and other stakeholders.
- Establish and maintain engineering best practices for data quality, automated testing, observability, data lineage, governance, security, documentation, and incident response.
- Improve self-service data access.
- Monitor and optimize platform performance, infrastructure scalability, and operational costs.
- Lead, mentor, and develop Data Engineers.
- Guide architecture and design decisions and contribute hands-on expertise.
- Communicate technical decisions, trade-offs, risks, and investment needs to stakeholders.
Requirements
- At least 6 years of experience in Data Engineering, Data Platform Engineering, Database Engineering, or a related technical field.
- At least 2 years of experience leading or managing Data Engineers or other technical teams.
- Strong hands-on experience with Snowflake, dbt, SQL, and modern ETL/ELT architectures.
- Solid knowledge of PostgreSQL or comparable relational databases.
- Experience with data ingestion and integration tools such as Fivetran, Meltano, or equivalent.
- Understanding of dimensional modeling, Medallion architecture, and modern data warehouse design patterns.
- Strong knowledge of data quality, automated testing, observability, lineage, governance, security, and documentation practices.
- Experience operating cloud-based data platforms.
- Ability to work at both the architectural and implementation levels.
- Demonstrated leadership, mentoring, and team-development skills.
- Excellent communication and collaboration skills.
- Experience with Python or Ruby is a plus.
- Experience in financial services or another regulated industry is desirable.
- Familiarity with analytics and AI applications, data catalogs, data contracts, or master data management is advantageous.
Conditions
- Flexible paid time off.
- Medical, dental, and vision insurance with generous plan options.
- 401(k) retirement plan with employer matching contributions.
- Paid family leave.
- Annual wellness subsidy.
- Work-from-home subsidy.
- Employee referral program.
- Remote-first work culture, with access to a conveniently located downtown office.
- Annual salary range of $135,000–$175,000.