Role Overview:We are seeking a highly skilled and detail-oriented Informatica and Teradata Architect to lead the data integration and warehousing architecture efforts as part of a large-scale Data Lakehouse transformation program for a leading banking client. The ideal candidate will possess deep expertise in Informatica (PowerCenter and IDQ) and Teradata, with a strong grasp of enterprise-grade data integration, ETL modernization, and data warehouse optimization. This role requires close collaboration with data architects, engineers, QA teams, and banking domain stakeholders.Key Responsibilities:Lead      the architecture and design of Informatica-based ETL frameworks to      migrate and modernize existing data pipelines from legacy systems to the      new Lakehouse platform.Design      efficient Teradata data models to support gold-layer consumption      and reporting needs.Develop      strategies for ETL workload optimization, code migration, and      performance tuning on both Informatica and Teradata platforms.Define      standards, best practices, and governance around ETL design,      parameterization, error handling, and metadata tracking.Work      with SNB and oversight partner to map legacy DWH logic to new      Cloudera-based Bronze/Silver architecture and Teradata-based Gold Layer.Provide      technical oversight and guidance to developers and data engineers      implementing integration and transformation logic.Collaborate      with testing and validation teams to ensure data accuracy, lineage, and      completeness through all layers.Support      impact analysis and dependency checks across ~50 tables and 150+ ETL      packages per source system.Required Skills and Experience:10+      years of experience in data warehousing, data integration, and      enterprise ETL architecture.Strong      hands-on experience with Informatica PowerCenter, Informatica      IDQ, and Teradata (SQL, utilities, and performance      optimization).In-depth      understanding of ETL lifecycle, data quality frameworks, and      integration patterns in a banking context.Demonstrated      ability to lead ETL modernization efforts and architect scalable,      reusable data pipelines.Experience      in migrating ETL logic from on-prem systems to Lakehouse      environments (e.g., Cloudera, Spark-based processing).Experience      in tuning large-volume ETL jobs and Teradata queries to meet SLA-driven      performance goals.Familiarity      with data governance principles, error logging, and metadata      management.Preferred Attributes:Experience      with Cloudera Data Platform (CDP), Spark, Hive, or Iceberg tables.Knowledge      of DevOps/DataOps for Informatica deployments and integration with      CI/CD tools.Exposure      to data masking, synthetic data generation, and regulatory data      controls.Good      understanding of banking use cases in areas like risk reporting,      compliance, credit, and finance.