Data Engineering Manager (Snowflake expert)
About The Position
Seeking a Data Engineering Manager to own the enterprise Snowflake data platform and lead a high-performing data engineering team. This hands-on leadership role involves setting the technical vision, enforcing standards and best practices, and building the Central Data Platform from ingestion through consumption. The position combines deep Snowflake expertise with strong people leadership, including mentoring engineers, driving architectural decisions, and cross-functional partnerships to deliver scalable, secure, and cost-efficient data solutions. This is a high-impact position to shape data strategy and influence tools, patterns, and capabilities across the organization.
Requirements
- 3 years directly leading and mentoring data engineering teams (or equivalent technical leadership in large-scale platforms).
- 5 years hands-on Snowflake and dbt experience (architecture, administration, engineering, data modeling).
- Bachelor's or Master's in Computer Science, Information Systems, or equivalent.
- Deep expertise in SQL/SnowSQL and core Snowflake capabilities (Time Travel, Streams, Tasks, Snowpipe, data sharing, RBAC, RLS, Zero-Copy Cloning, etc.).
- Power BI architecture and optimization against Snowflake.
- End-to-end data warehouse / data lake delivery (medallion architecture, star/snowflake schemas, 3NF).
- Performance tuning, cost optimization, troubleshooting complex issues, and implementing preventative controls.
- Familiarity with tooling: Fivetran, dbt, Informatica IDMC, DevOps (CI/CD, Git), and cloud platforms.
- Strong communication and influence skills: Able to translate technical concepts for both executive and technical audiences.
Nice To Haves
- Snowflake certifications (SnowPro Core Advanced Architect strongly preferred).
- Regulated industries experience (GDPR, HIPAA).
- Python or Java for automation and scripting.
- Experience with large-scale data platform migrations or modernizations.
Responsibilities
- Lead, mentor, and grow a team of data engineers and architects.
- Provide hands-on guidance through code reviews, architecture sessions, workshops, and 1:1s.
- Foster a culture of excellence, innovation, and continuous improvement.
- Own end-to-end architecture, design, implementation, and stewardship of the Snowflake platform (administration, data modeling, performance, cost optimization, security).
- Establish and evangelize enterprise standards for RBAC, row-level security, data sharing, lifecycle management, cloning, and AI features.
- Define and document scalable implementation patterns for ingestion (Fivetran), transformation and consumption layers using (dbt).
- Evaluate and drive adoption of new Snowflake capabilities and third-party tools.
- Oversee monitoring, tuning (warehouse sizing, clustering, materializations), troubleshooting, and root-cause analysis to ensure reliability and efficiency at scale.
- Partner with InfoSec to implement and maintain advanced security controls (dynamic masking, encryption, auditing, RLS) while meeting regulatory requirements.
- Work with data, analytics, infrastructure, and business stakeholders to align the platform roadmap with enterprise priorities.
- Contribute to long-term strategy around cloud data platforms, AI, and analytics.
- Identify and drive process, tooling, and platform enhancements that deliver measurable efficiency gains.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
