1185.25 Data Architect

Data Architect

1+ year contracted​​

Key Responsibilities

• Design enterprise-scale Data, Big Data, Analytics, and AI platforms
• Architect Data Lakes, Lakehouses, Data Warehouses, Data Marts, and Big Data environments
• Design architectures supporting structured, semi-structured, and unstructured data
• Establish data platform standards, reference architectures, and best practices
• Design highly scalable batch, streaming, and real-time data processing ecosystems
• Define enterprise patterns for data ingestion, integration, transformation, orchestration, and delivery
• Design and govern data architectures supporting AI, Machine Learning, Advanced Analytics, and Generative AI workloads
• Ensure enterprise data is discoverable, trusted, governed, and consumable for AI initiatives
• Design metadata, lineage, cataloging, and semantic layer capabilities required for AI adoption
• Establish architecture standards supporting RAG, Knowledge Graphs, Vector Stores, AI Agents, and MLOps platforms
• Define processes and controls to improve data quality and data reliability for AI model training and inference
• Collaborate with Data Science and AI teams to ensure data platforms meet AI readiness requirements

Required Skills

• 10+ years of experience in Data Architecture, Big Data Architecture, or Enterprise Information Management
• Strong hands-on experience designing and implementing enterprise on-premises data platforms
• Proven experience designing large-scale Data Warehouses, Data Lakes, and Lakehouse platforms
• Experience designing Big Data environments handling high-volume and high-velocity workloads
• Experience establishing enterprise data governance and data quality frameworks
• Experience supporting AI, Machine Learning, and Advanced Analytics initiatives through enterprise data architecture
• Experience working with distributed processing and storage platforms
• Spark, Kafka, Iceberg, Airflow, NiFi, Trino, Flink, HDFS, Ozone, MinIO, Cloudera, and Stackable
• PostgreSQL, Oracle, SQL Server, and MongoDB
• Vector Databases and Knowledge Graph Platforms
• Ataccama, Alation, Collibra, OpenLineage, and Informatica
• Power BI, Tableau, and Superset