Senior Data Architect (Modernization & Cloud Platforms)
Mphasis
We are seeking a visionary Senior Data Architect to lead our enterprise-wide data transformation. You will be the primary architect responsible for the strategic migration of legacy data infrastructures into a modern, cloud-native data plane. This role requires a rare blend of deep engineering roots , enterprise architectural foresight , and innovation leadership to build data systems that are not just scalable, but "future-proof." Key Responsibilities Strategic Architecture & Migration Legacy-to-Modern Roadmap: Design and execute the multi-year strategy to migrate from legacy RDBMS and mainframes to modern Data Lakehouses and Data Meshes . Data Plane Evolution: Define the "Modern Data Plane" architecture, ensuring seamless integration between storage (S3/ADLS/GCS), compute (Spark/Snowflake/Databricks), and consumption layers. Hybrid Cloud Strategy: Architect robust patterns for data movement across hybrid and multi-cloud environments, ensuring minimal downtime and zero data loss. Engineering Excellence & Implementation Pattern Development: Create reusable "Blueprints" for ELT/ETL pipelines , Change Data Capture (CDC) , and real-time streaming architectures using Kafka or Redpanda . Performance Engineering: Optimize cloud spend and query performance by implementing advanced indexing, partitioning, and caching strategies. Automated Governance: Architect "Security-as-Code" within the data plane, integrating PII redaction, data masking, and RBAC directly into the automated deployment pipelines. AI/ML Readiness: Architect data planes specifically optimized for Generative AI and LLM workloads (e.g., Vector Databases, Feature Stores). Self-Service Innovation: Design and lead the implementation of a Data Catalog and self-service portal to empower data scientists and analysts. Required Skills & Qualifications Experience 10+ years in Data Architecture/Engineering; 5+ years leading large-scale cloud migrations. Expert-level proficiency in AWS (Lake Formation/Glue) , Azure (Synapse/Fabric) , or GCP (BigQuery/Dataflow) . Legacy Systems Strong understanding of legacy patterns (Netezza, Teradata, Oracle, Mainframe) and how to decouple them. Modern Standards Hands-on experience with Data Mesh , Data Fabric , and Open Table Formats (Iceberg, Delta Lake) . Certifications Preferred: AWS Solutions Architect Pro , Google Professional Data Engineer , or CDMP . #J-18808-Ljbffr Mphasis
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