About the Opportunity

A rapidly growing technology-driven organization is expanding its data engineering function and transitioning from external consulting support to a fully in-house model. The company is investing in modern data architecture, analytics infrastructure, and scalable engineering practices to build a reliable, cost-efficient data ecosystem.

You’ll join at a pivotal moment helping design, implement, and optimize the core data environment that will power analytics and decision-making across the business.

The Role

We’re seeking a Data Engineer / Data Architect who combines strong technical depth with architectural vision. You’ll be responsible for designing cloud-based data platforms, building efficient data pipelines, and defining engineering best practices.

This is a high-visibility, high-impact position with direct exposure to senior leadership, offering the chance to shape the direction of a modern data organization from the ground up.

Key Responsibilities

Design and build data architecture: Define and implement scalable data models and integrations for enterprise analytics.
Develop and automate pipelines: Build robust ETL/ELT processes to move and transform data across systems.
Collaborate with business & technology leaders: Translate business requirements into technical solutions aligned with strategic goals.
Optimize for performance and cost: Improve data efficiency, reliability, and cost-effectiveness versus external vendor models.
Establish internal standards: Develop documentation, frameworks, and best practices for a sustainable in-house data function.
Mentor and support team growth: Contribute to onboarding and the long-term success of a high-performing data engineering team.

Skills & Experience

Required

Deep experience in data architecture and data modeling
Hands-on expertise with Snowflake or equivalent modern data warehouse (e.g., Redshift, BigQuery, Synapse)
Strong proficiency in Python for automation and transformation workflows
Solid understanding of ETL / ELT design and development
Excellent SQL skills and performance tuning experience
Proficiency with cloud platforms (AWS, Azure, or GCP)

Preferred

Familiarity with AI/ML infrastructure or data science environments
Experience with modern data tooling (Databricks, dbt, Airflow, etc.)
Prior experience helping organizations transition from consulting to internal data teams

Why This Role

Build from scratch: Help design and implement a new, modern data environment.
High visibility: Collaborate directly with executive and technology leadership.
Meaningful impact: Your work will directly improve cost efficiency and data capabilities.
Flexible structure: Open to both contract-to-hire or permanent placement.
Ownership & autonomy: Shape data architecture, standards, and delivery processes from day one.

Compensation & Details

Salary: $140,000–$150,000 base (DOE)
Timeline: Target hire before New Year; start early Q1 2026
Location: Remote (US-based candidates only)

Interested?

Apply today or reach out to the Enzo Tech recruiting team to learn more. This is a rare opportunity to join a company building its next-generation data platform from the ground up.

Enzo Tech Group

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