Data, Analytics and AI Development Lead

EagleView

This role entails leading a team of developers and data engineers overseeing the processes of AI tool development, automation and analytics, working closely with various departments across the US and India to ensure that data-driven insights are successfully integrated into business operations.

The ideal candidate should possess a robust analytical background, exceptional leadership abilities, and a passion for utilizing data to address complex business challenges.

Python, AWS, SQL (preferably Snowflake), Git and Jenkins.

• Oversee and lead development for AI asset design, with a focus on efficiency

• Data governance to support quality AI, security, and compliance best practices

• Collaborate with cross-functional teams (analysts, product managers, and engineers) to understand business needs and translate them into technical solutions
• Lead team project delivery and communication to leadership
• Debug and optimize complex

  Python and SQL

  (preferably in

  Snowflake

  )
• Lead troubleshooting and debugging efforts for

  data pipelines

  and

  data quality

  issues
• Deliver high quality analytics for executive leadership on occasion

• 5+ years of experience

  in lead role for a team within any of the Data Engineering, software engineering or Artificial Intelligence domains
• Bachelors or Masters degree in

  Computer Science, Computer Engineering, or a related discipline

• Experience developing with

  Snowflake

  as the data platform
• Strong communication skills and ability to

  collaborate with cross-functional teams

  for requirements gathering and solution design
• Experience working with large-scale, distributed data systems and cloud data warehouses
• Understanding of

  data modeling principles and database design

• High proficiency in

  SQL

  (preferably

  Snowflake

  ) for data modeling, performance tuning, and optimization
• High proficiency in

  Python

  , particularly for building data sets (including ingestion and transformation), ideally with production level projects using data science and AI libraries (including LLMs, semantic models or predictive analytics)

Preferred Experience:

• Design, develop, and optimize

  scalable data pipelines

  for ETL/ELT processes
• Experience with

  ETL/ELT tools

  (preferably Fivetran, dbt)
• Experience with

  Git

  or other version control tools in a collaborative development environment
• Develop and maintain

  Python-based

  data processing scripts and automation tools
• Administration of big data platforms, such as

  Snowflake

• Experience with

  Microsoft PowerBI

  and other visualization tools
• Knowledge of

  cloud platforms

  (AWS, GCP, Azure) and related services (e.g., S3, Lambda, BigQuery)
• Experience in

  AWS

  , particularly for building and deploying AI solutions (ideally using Bedrock or OpenAI)