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Data Engineering Manager (Snowflake expert)

One Of Our Clients


Job Location:

Charlotte, VT - USA

Yearly Salary: USD 165000 - 175000
Posted: 8 September 2026 (5 hours ago)
Application Deadline: 6 December 2026
Vacancies: 1 Vacancy

Job Summary

One of our clients is looking for a Data Engineering Manager (Snowflake/dbt)

Location: Charlotte NC
Position Type: Full Time

Seeking a Data Engineering Manager to own our enterprise Snowflake data platform and lead a high-performing data engineering this hands-on leadership role you will set the technical vision enforce standards and best practices and build the Central Data Platform from ingestion through consumption. You will combine deep Snowflake expertise with strong people leadership mentoring engineers driving architectural decisions and partnering cross-functionally to deliver scalable secure and cost-efficient data solutions. This is a high-impact position where you will shape our data strategy and influence tools patterns and capabilities across the organization.
Key Responsibilities:
  • Technical Leadership & Team Management: 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.
  • Platform Ownership: 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.
  • Design Patterns & Integrations: 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.
  • Performance Reliability & Cost Optimization: Oversee monitoring tuning (warehouse sizing clustering materializations) troubleshooting and root-cause analysis to ensure reliability and efficiency at scale.
  • Security & Compliance: Partner with InfoSec to implement and maintain advanced security controls (dynamic masking encryption auditing RLS) while meeting regulatory requirements.
  • Strategic Planning & Collaboration: 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.
  • Continuous Improvement: Identify and drive process tooling and platform enhancements that deliver measurable efficiency gains.


Qualifications:
Required:
  • Proven leadership experience: 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).
  • Bachelors or Masters 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.
  • Tooling: Fivetran dbt Informatica IDMC DevOps (CI/CD Git) and cloud platforms.
  • Communication & influence: Able to translate technical concepts for both executive and technical audiences.
Preferred:
  • Snowflake certifications (SnowPro Core Advanced Architect strongly preferred).
  • Regulated industries experience (GDPR HIPAA).
  • Python or Java for automation and scripting.
  • Large-scale data platform migrations or modernizations.
Personal Attributes:
  • Leadership presence and ability to influence at all levels.
  • Collaborative team player who thrives in fast-paced environments.
  • Self-motivated proactive and comfortable balancing strategic vision with hands-on delivery.
  • Customer-focused with a passion for delivering high-quality reliable data platforms.

Required Experience:

Manager