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AI Data Architect
About the role
StatusNeo seeks an experienced AI Data Architect to design scalable, secure data architectures for AI/ML workloads. The role involves defining data strategy, governance, and building lakehouse pipelines on cloud platforms such as AWS, Azure, and GCP. The architect will collaborate with data scientists, ML engineers, and business stakeholders to translate requirements into robust solutions, ensuring compliance, metadata management, and performance optimization. Candidates should bring 8+ years in data engineering and at least 3 years as a data architect focused on AI/ML, with deep expertise in Databricks, Snowflake, Delta Lake, Spark, Kafka, Airflow, and DBT. Strong SQL, Python, and knowledge of AI/ML platforms like SageMaker and Vertex AI are essential. The position is based in Bangalore and requires on-site presence.
What you’ll do
- Design and implement end-to-end data architectures for AI/ML workloads.
- Define data strategy, governance, and frameworks for structured and unstructured data.
- Architect scalable pipelines, warehouses, and lakehouses optimized for AI/ML.
- Collaborate with data scientists, ML engineers, and business teams to translate requirements.
- Ensure data security, compliance, lineage, and metadata management.
- Optimize data platforms for performance, scalability, and cost efficiency.
What you’ll bring
- 8+ years in data engineering/architecture, 3+ years as AI/ML Data Architect.
- Proven expertise in cloud platforms (AWS, Azure, GCP) and lakehouse technologies.