Lead Data Analytics Engineer

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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