This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, Data Engineering in the United States.
This role leads the data engineering practice, overseeing data engineering, analytics, machine learning, and data science initiatives across complex, large-scale projects. You will set technical direction, define standards, and ensure delivery excellence while actively mentoring and managing a team of engineers. Working closely with cross-functional stakeholders, you will drive architecture decisions, implement scalable data solutions, and apply your expertise to optimize client outcomes. This position blends technical leadership with hands-on execution, offering opportunities to influence strategy, advance engineering practices, and contribute to thought leadership in the data community. It is ideal for someone passionate about shaping a high-performing team and pushing the boundaries of data-driven innovation.
- Accountabilities
- Lead and manage the data engineering team, providing mentorship, guidance, and professional development support.
- Architect and oversee the design of scalable, secure, and high-performance data systems across cloud environments (AWS, Azure, GCP) and platforms (Databricks, Snowflake).
- Define and enforce engineering standards, best practices, code review processes, testing, and data governance across projects.
- Plan, estimate, and execute data engineering initiatives, ensuring alignment with business and client objectives.
- Ensure security, privacy, and compliance of all data systems and pipelines.
- Act as a hands-on contributor, writing code, creating architecture diagrams, and reviewing technical designs.
- Stay current with AI, machine learning, and data engineering trends, incorporating new technologies and frameworks into practice.
- Support pre-sales activities, client presentations, and technical discovery as a subject matter expert.
- Contribute to community and thought leadership through publications, speaking engagements, and open-source projects.
- Requirements
- 7–10+ years of experience in data engineering, ideally with experience leading teams in consulting or cross-functional product environments.
- Proven leadership in managing data engineers, data scientists, and analytics professionals.
- Deep expertise with Databricks, Spark, and large-scale data processing; strong proficiency in SQL and Python.
- Experience designing and implementing scalable data warehousing and ETL/ELT pipelines.
- Solid understanding of cloud data platforms (AWS, Azure, GCP) and ability to architect solutions across multiple environments.
- Strong knowledge of data modeling, schema design, query optimization, data governance, security, and compliance best practices.
- Excellent communication and presentation skills, capable of influencing technical and non-technical stakeholders.
- Demonstrated ability to balance hands-on execution with strategic leadership.
- Bonus experience: real-time streaming technologies (Kafka, Kinesis), machine learning pipelines/MLOps, additional programming languages (Java, Go, Scala), open-source contributions, or domain expertise in healthcare/fintech.
- Benefits
- Competitive salary range: $165,000–$200,000, plus incentive plan.
- Flexible work arrangements, including remote options.
- Comprehensive health, dental, and vision coverage.
- Professional growth opportunities, mentoring, and leadership development.
- Inclusive and collaborative culture emphasizing learning, transparency, and accountability.
- Opportunities to contribute to community and thought leadership initiatives.
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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