Tech Lead – Data Engineer

Location: Remote (U.S.)

Employment Type: Contract or Contract-to-Hire

Company: Alpine Solutions Group – on behalf of a purpose-driven AI & Data Engineering organization

About the Opportunity

Alpine Solutions Group is partnered with an innovative technology consultancy that builds AI and data solutions to drive real-world impact — from environmental sustainability to healthcare, infrastructure, and inclusive financial systems. Their mission is to design and deliver products that apply AI and data engineering for good.

This is an excellent opportunity for an experienced Tech Lead – Data Engineer who wants to combine hands-on technical work with meaningful leadership and purpose-driven projects. You’ll lead small engineering teams (2–5 people), own solution design and architecture, and work closely with clients to deliver scalable, secure, and future-ready data platforms.

Key Responsibilities

• Lead project engineering teams, define architecture, and develop data lakes and scalable data pipelines using Databricks and Azure (AWS or GCP experience also valued).
• Design and implement medallion architecture (Bronze, Silver, Gold layers) supporting analytics, reporting, and machine learning use cases.
• Collaborate with cross-functional teams and client stakeholders to translate business goals into effective data solutions.
• Build and optimize data models and pipelines for performance, maintainability, and security.
• Apply DevOps and engineering best practices including CI/CD, testing, monitoring, and automation.
• Uphold best practices in data governance, privacy, and access control.
• Support delivery across complex programs, aligning technical strategy with milestones.
• Act as a go-to expert for data engineering standards and technical problem-solving.

Qualifications

• 7+ years of experience in data engineering with proven technical leadership responsibilities.
• Deep expertise with Azure and Databricks (or similar platforms), including Delta Lake and Unity Catalog.
• Strong proficiency in Python and SQL, with experience building robust, production-grade data pipelines.
• Solid understanding of modern data architecture patterns, including medallion architecture and BI frameworks.
• Hands-on experience with Azure Data Lake Storage Gen2, Data Factory, and Key Vault.
• Familiarity with MLflow or similar tools.
• Excellent communication skills across technical and non-technical audiences.
• High degree of independence, accountability, and ownership.
• Prior consulting experience or healthcare-related data work is a plus.