Data Architecture

Lead the design and implementation of ETL processes, data pipelines, migrations, and Lakehouse loads for reporting and analytics.

Architect data flows using SQL, Python, and cloud data technologies, applying DevOps practices to deploy pipelines reliably at scale.

Establish medallion architecture standards across bronze/silver/gold layers, determining where transformations belong.

Define Data Quality controls and validation standards; coordinate business verification and sign-off for complex or high-risk changes.

Develop solutions aligned with HIPAA and data security requirements, advising colleagues on compliance considerations.

Use AI and LLM tools to accelerate system discovery, automate repetitive work, support development, and validate outputs while maintaining appropriate human review.

Improve delivery processes, redesign pipelines for scalability, and mentor junior engineers through design reviews and knowledge sharing.

Strong architectural judgment and the ability to translate incomplete business requirements into reliable, maintainable data solutions.

A self-directed approach to complex decisions, balancing delivery speed with scalability, security, and engineering quality.

Demonstrated leadership through mentoring, technical reviews, standards development, and ownership of projects from design through delivery.

Confidence collaborating with source system owners and business stakeholders, including when documentation is incomplete or project assumptions change., Bachelor’s degree in data management, computer science, computer engineering, software engineering, or a related field, or equivalent work experience.

At least 5 years of data engineering experience, including demonstrated solution architecture rather than implementation alone.

Expert proficiency in SQL and Python, with experience directing complex technical projects.

Advanced understanding of medallion architecture and sound judgment when requirements or source systems are uncertain.

Experience with version control, CI/CD tools, and practical AI-assisted engineering workflows.

Demonstrated technical leadership and the ability to establish and communicate engineering standards.

Preferred Qualifications

Experience with healthcare data and HIPAA requirements.

Strong background in complex data migrations, cloud data platforms, and scalable analytics infrastructure.

Thinking Minds’ client offers medical, dental, and vision benefits, retirement savings, paid time off, paid holidays, backup care, and opportunities for professional growth.