Description

You will lead the technical direction for complex data and AI initiatives.

Responsibilities

• Architect modern data solutions, including data lakes, warehouses, and real-time streaming platforms.
• Design and implement ML/AI systems, covering model training, feature stores, and MLOps.
• Establish data governance frameworks ensuring compliance, security, and data quality.
• Lead cloud migration strategies and optimize infrastructure costs on cloud-native platforms.
• Provide hands-on technical guidance and conduct architecture reviews for engineering teams.

Required Skills

• 5+ years of professional experience.
• Expert-level proficiency in Python and SQL.
• Expert-level proficiency in modern data stack technologies (Snowflake, Databricks, BigQuery, Redshift).
• Deep experience with distributed computing frameworks (Apache Spark).
• Expertise in SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).
• Proven track record deploying production ML systems at scale.
• Extensive experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in infrastructure as code (Terraform, CloudFormation).
• Strong knowledge of ETL/ELT tools and data modeling techniques.

Key Skills

Education

Bachelor's degree