About the Role
We are seeking a Data Architect with over 10 years of experience to design and implement enterprise-scale data solutions. This role involves architecting advanced data platforms and ensuring that data is discoverable, trusted, and ready for AI initiatives. The Data Architect will collaborate with Data Science and AI teams to ensure the platforms meet operational requirements and standards.
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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
- Proficient in tools such as Spark, Kafka, Iceberg, Airflow, NiFi, Trino, Flink, HDFS, Ozone, MinIO, Cloudera, and Stackable
- Proficient in databases including PostgreSQL, Oracle, SQL Server, and MongoDB
- Knowledgeable in Vector Databases and Knowledge Graph Platforms
- Familiar with Ataccama, Alation, Collibra, OpenLineage, and Informatica
- Experience with visualization tools like Power BI, Tableau, and Superset
Contract Details
