Lead Data AI Engineer_Vice President_Data & Analytics Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable data pipelines and ETL processes handling structured and unstructured data.
Implement data quality, governance standards, and optimize data systems for performance across the data lake infrastructure.
Collaborate with business and technology stakeholders to translate data needs into technical solutions and contribute to knowledge sharing and data architecture community leadership.
Minimum Requirements
10+ years of experience in data engineering or related field with at least 6 years of relevant skills for this role.
Graduate degree in Computer Science, Information Systems, or equivalent.
Proficiency in Python, experience with Apache Spark or Hadoop, and knowledge of SQL and NoSQL databases.
Experience working on Snowflake or Databricks, familiarity with cloud platforms (AWS/Azure), data modeling, data warehousing, streaming platforms (Kafka), and version control systems (Git).
Ideal Candidate Profile
Experience leading data engineering projects involving advanced data platforms like Snowflake or Databricks and GenAI initiatives.
Ability to work independently within geographically distributed teams and contribute strategically to evolving data architecture.
Strong technical practitioner with operational ownership of large-scale data infrastructure and active participation in data architecture community knowledge sharing.