Lead Data Analytics Engineer

A recognized financial services organization in Stamford, Connecticut is actively seeking a new Lead AI Data Analytics Engineer to build and maintain data foundations that power decision-making across the firm, encompassing analytics, data engineering, and automation. Experience with AI Configuration, AI Implementation and AI Infrastructure a must.

About the Opportunity:

• Schedule: Monday to Friday


• Hours: Standard business


• Setting: Hybrid (Tuesday to Thursdays onsite)

Responsibilities:

• Define and standardize key metrics, data definitions, and reporting logic


• Identify data gaps and recommend process improvements


• Build and maintain data pipelines from various systems


• Design and maintain analytical layers and documentation


• Develop and operate ETL/ELT workflows with rigorous validation


• Configure, fine-tune, and optimize LLMs and advanced ML models.


• Build and manage prompt frameworks, embeddings, and vector databases.


• Translate business challenges into AI-powered workflows.


• Work with cloud platforms (Azure, AWS, or Google Cloud Platform) to scale AI workloads.


• Improve reliability, performance, and governance of AI systems.

Qualifications:

• Proficiency with Data Warehouses and designing datasets for analytics


• Familiarity with SQL and experience with relational databases


• Experience building and maintaining ETL/ELT workflows


• Experience integrating data via APIs


• Demonstrated ability to build dashboards and visualizations


• Familiarity with crypto markets and on-chain analytics


• Experience with metric layers, semantic models, and documentation

Desired Skills:

• Certification in Data Analytics and/or Engineering


• Advanced skills with SQL