AI Data Architect

📋 Description

• Architect and manage a unified AI data platform that ingests, transforms, stores, governs, and serves data for AI applications across the organization.
• Design advanced data architectures including data lakes, lakehouses, data meshes, warehouses, and event-driven systems optimized for AI workloads.
• Establish data models, schemas, contracts, lineage processes, and governance frameworks to ensure accuracy, consistency, and accessibility.
• Build and optimize automated data pipelines, ETL processes, reporting solutions, and analytical capabilities using modern data technologies.
• Lead modernization efforts by transforming legacy data environments into cloud-native, AI-ready architectures with improved scalability, performance, and efficiency.
• Develop retrieval infrastructure for RAG-based applications, including embedding pipelines, vector databases, semantic search capabilities, and hybrid retrieval solutions.

🎯 Requirements

• 15+ years of hands-on experience in data engineering, architecture, and large-scale data platform development.
• Strong experience designing production AI/ML and LLM-focused data infrastructure.
• Expertise with data architecture patterns, including data lakes, data warehouses, data hubs, and event-driven architectures.
• Advanced proficiency in Python and SQL, with experience building complex ETL and data transformation workflows.
• Strong experience with platforms such as Snowflake or Databricks, with exposure to both preferred.
• Experience with cloud technologies including AWS services such as S3, Glue, EKS, Bedrock, Kinesis, and Redshift.

🎁 Benefits

• Medical insurance benefits according to company policy.
• Dental and vision insurance coverage.
• Employer-paid disability, life, and accidental death & dismemberment insurance.
• Unlimited paid time off.
• Paid parental leave.
• 401(k) retirement plan.