What is the role of a Director, Data Engineering at Jobgether?

The Director, Data Engineering position at Jobgether is a Full-time or part-time position opportunity in the Information Technology field.

Where is this Director, Data Engineering job located?

United States, Other / Non-US, United States

What type of employment is offered for this Director, Data Engineering role?

Full-time or part-time position

What is the expected salary for this Director, Data Engineering job?

Compensation will be discussed during the hiring process.

How can I apply for the Director, Data Engineering position at Jobgether?

You can apply directly through the application link provided.

Director, Data Engineering at Jobgether

Director, Data Engineering

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Data Engineering in United States.

In this role, you will lead and scale a high-impact data engineering organization, shaping the strategy, architecture, and execution of modern data platforms that power critical business decisions. You will drive the development of robust data pipelines, scalable data warehouses, and advanced analytics capabilities to support internal teams and external stakeholders. Working in a highly collaborative, fast-paced, and mission-driven environment, you will partner closely with data science, analytics, product, and operations teams. This role blends technical leadership with strategic vision, enabling data-driven innovation at scale. You will champion best practices in data governance, quality, and security while fostering a culture of excellence and continuous improvement. This is a unique opportunity to build and lead a world-class data engineering function with meaningful real-world impact.

Accountabilities:

Lead the design, implementation, and deployment of scalable data infrastructure, including data warehouses, pipelines, integrations, and BI tooling.
Define and execute the long-term data engineering strategy and roadmap aligned with business priorities.
Manage, mentor, and grow a high-performing team of data engineers, including hiring and talent development.
Collaborate closely with data science, analytics, product, and operations teams to deliver user-friendly, high-impact data solutions.
Oversee sprint planning, resource allocation, and delivery execution to ensure high-quality, timely outcomes.
Drive adoption of best practices in data engineering, governance, security, testing, and operational excellence.
Evaluate and integrate emerging technologies to continuously improve performance, scalability, and reliability.
Ensure compliance, reliability, and accuracy when working with sensitive and regulated data environments.

Requirements:

5+ years of experience leading data engineering teams and delivering modern data platforms at scale.
Proven track record of building and scaling high-performing engineering organizations.
Strong hands-on expertise in cloud data warehouses such as Snowflake, BigQuery, or Databricks.
Advanced SQL-based data modeling experience, ideally using frameworks such as DBT.
Experience designing fault-tolerant data pipelines with robust logging, alerting, and validation.
Familiarity with iPaaS tools such as Workato, Mulesoft, or Talend.
Experience with BI and visualization tools including Tableau, Looker, or Sigma.
Strong understanding of data governance, quality management, and security best practices.
Excellent communication, leadership, and stakeholder management skills.
Strong analytical mindset with the ability to prioritize, simplify complexity, and drive execution.

Benefits:

Competitive base salary range of $202,000 to $308,000 per year, plus potential performance-based bonuses.
Comprehensive medical, dental, and vision insurance, including FSA, HSA, life, and disability coverage.
Equity participation through restricted stock units.
Generous paid time off, including vacation, sick leave, and company holidays.
Paid parental leave.
401k retirement plan.
Monthly technology allowance.
Access to coaching and therapy services.
Wellness perks, team events, surprise gifts, and community celebrations.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Director, Data Engineering at Jobgether – United States

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