Data Engineering Lead

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

This Data Engineering Lead role is a high-impact technical leadership position focused on building and scaling an AI-ready enterprise data foundation. You will lead a lean data engineering team responsible for creating reliable, governed, and highly accessible data systems that power analytics, reporting, and future AI initiatives across the organization. The role blends hands-on architecture design with strategic leadership, ensuring data pipelines are scalable, observable, and trusted by stakeholders across the business. You will partner closely with analysts, engineering teams, and business leaders to improve data usability and drive self-service analytics capabilities. A key part of the role involves defining and implementing data governance standards, improving data quality, and enabling consistent access to certified datasets. You will also mentor engineers, shape delivery practices, and help establish a culture of technical excellence and operational discipline. This is a pivotal opportunity to transform data into a strategic asset powering long-term innovation.

Accountabilities:

Lead the design, development, and scaling of a modern data platform that supports analytics, reporting, governance, and AI readiness across the organization.

Own the Data Governance & Accessibility program, including standards for data quality, lineage, and access management.
Design scalable data architecture, ingestion frameworks, and transformation pipelines across multiple business systems.
Improve pipeline reliability through monitoring, alerting, observability, and performance optimization.
Build and maintain certified datasets and reusable data models that support enterprise analytics needs.
Collaborate with analysts and business stakeholders to improve data accessibility and self-service capabilities.
Mentor and guide a small data engineering team through technical reviews, prioritization, and delivery planning.
Partner cross-functionally to identify data gaps and implement scalable integration solutions across platforms.
Drive continuous improvement in engineering practices, documentation, and operational processes.

Requirements:
7+ years of experience in data engineering, analytics engineering, or platform/data infrastructure roles.

Proven experience designing and scaling data pipelines and distributed data systems in cloud environments.
Strong expertise with modern data warehouse technologies (e.g., Snowflake or equivalent).
Hands-on experience with data ingestion, transformation frameworks, and orchestration tools.
Strong understanding of data governance, data quality frameworks, metadata management, and lineage tracking.
Experience integrating multiple enterprise SaaS systems (e.g., CRM, ERP, support, marketing platforms) into centralized data models.
Proven ability to lead or mentor engineers while driving technical execution in a fast-paced environment.
Strong analytical thinking, problem-solving skills, and ability to translate business needs into data solutions.
Excellent communication skills with the ability to influence both technical and non-technical stakeholders.

Benefits:

Competitive salary aligned with experience and market benchmarks ($150,000–$170,000 range)
Equity opportunities (ISOs) and performance-based compensation structure
Comprehensive healthcare coverage (medical, dental, vision)
401(k) retirement plan with employer matching
Paid time off and flexible remote-first work environment
Professional development and continuous learning support
Inclusive, remote-first culture with regular in-person company gatherings
Exposure to AI-driven analytics initiatives and advanced data platform modernization
Strong focus on engineering ownership, autonomy, and technical impact

How Jobgether works:

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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