Tech Lead - Data Engineering (Python, Azure, Snowflake)

Tech Lead – Data Engineering (Python, Azure, Snowflake)

Location: Boston, MA (Hybrid – 4 Days Onsite Required)

Employment Type: Contract-to-Hire (6–12 Months)

Schedule: Monday-Friday, approximately 8:30/9:00 AM – 5:00/5:30 PM EST

Work Authorization: U.S. Citizens and Green Card Holders Only

About the Opportunity

Seeking an experienced, hands-on Tech Lead / Senior Data Engineer to support the development and enhancement of an enterprise investment platform for a leading financial services organization in Boston.

This role combines senior-level data engineering expertise with technical leadership and direct business engagement. The ideal candidate will have strong experience with Python, Microsoft Azure, and Snowflake, along with experience leveraging Large Language Models (LLMs) and AI technologies.

This position requires a commitment to working onsite in Boston four days per week.

Key Responsibilities

• Lead the design, development, and optimization of scalable data engineering solutions supporting an enterprise investment platform.
• Build and maintain robust data pipelines, ETL/ELT workflows, and data integration processes.
• Develop Python-based solutions for data processing, transformation, integration, and analytics.
• Leverage Microsoft Azure and Snowflake to build efficient, scalable, and reliable data solutions.
• Collaborate directly with business stakeholders to understand requirements and translate business needs into technical solutions.
• Contribute to AI-driven initiatives involving LLMs and emerging AI technologies.
• Provide hands-on technical leadership, including solution design, architectural guidance, and technical problem-solving.
• Partner with cross-functional engineering and business teams to deliver high-quality solutions.

Required Qualifications

• Senior-level experience in data engineering, including hands-on technical leadership responsibilities.
• Strong proficiency in Python development.
• Proven experience designing and implementing cloud-based solutions using Microsoft Azure.
• Strong hands-on experience with Snowflake, including data transformation, modeling, and optimization.
• Experience developing or supporting solutions leveraging LLMs, generative AI, or other AI technologies.
• Experience designing, building, and optimizing scalable data pipelines and workflows.
• Excellent communication and stakeholder management skills, with the ability to work directly with business teams.
• Ability to balance hands-on engineering responsibilities with technical leadership.
• Must be able to commit to working onsite in Boston four days per week.

Preferred Qualifications

• Experience within financial services, investment management, or asset management.
• Experience integrating AI/LLM capabilities into enterprise data platforms.
• Experience leading technical discussions, solution design, and architecture decisions.

Why This Opportunity?

• Work on a high-impact enterprise investment platform.
• Gain exposure to modern cloud data engineering and AI-driven initiatives.
• Take ownership of technical solutions while collaborating closely with business stakeholders.
• Opportunity for long-term growth through a contract-to-hire engagement.

Interested in learning more? Apply today!