Job Description Must Have Technical/Functional Skills 10 years of overall IT experience with 5 years in Data Architecture Data Engineering and Enterprise Data Management
Key Responsibilities Define and implement enterprise data architecture strategy roadmap and standards. Architect end-to-end data pipelines ETL/ELT frameworks and integration patterns. Lead modernization initiatives from legacy platforms to cloud-based data ecosystems. Define data governance metadata management lineage and data quality frameworks. Collaborate with business and technology teams to translate requirements into scalable data solutions. Design real-time and batch data processing architectures. Provide architecture guidance to development teams Establish enterprise standards for master data management (MDM) reference data and analytics enablement. Support AI/ML reporting BI and advanced analytics initiatives
Required Skills & Qualifications
Technical Skills Strong experience in Data Architecture Data Modeling and Data Engineering. Expertise in SQL and database technologies Hands-on experience with Cloud Platforms: o Amazon Web Services (AWS) o Microsoft Azure o Google Cloud Platform (GCP) Experience with Big Data & Data Processing: o Spark Hadoop Kafka Databricks Strong knowledge of ETL/ELT tools: o Ab Initio Informatica Talend DataStage Airflow Experience with Cloud Data Warehouses: o Snowflake Redshift BigQuery Databricks Expertise in data modeling techniques: o Conceptual Logical Physical Data Models o Dimensional Modeling (Star/Snowflake Schema) o Data Vault Modeling Familiarity with data governance tools and frameworks. Experience in API integrations microservices and event-driven architecture. Knowledge of Generative AI / AI-ready data architecture Knowledge of data mesh data fabric and modern data platforms Architecture & Leadership Domain expertise in Banking and Financial sector Strong understanding of enterprise architecture frameworks and best practices. Experience defining data standards reusable frameworks and architecture governance. Ability to lead architecture discussions with CXOs business stakeholders and engineering teams. Experience with Agile/Scrum delivery models. Preferred Certifications AWS Certified Data Analytics / Solutions Architect Snowflake Certification Databricks Certification TOGAF (mandatory)
Job DescriptionMust Have Technical/Functional Skills10 years of overall IT experience with 5 years in Data Architecture Data Engineering and Enterprise Data Management Key Responsibilities Define and implement enterprise data architecture strategy roadmap and standards. Architect end-to-end data pip...
Job Description Must Have Technical/Functional Skills 10 years of overall IT experience with 5 years in Data Architecture Data Engineering and Enterprise Data Management
Key Responsibilities Define and implement enterprise data architecture strategy roadmap and standards. Architect end-to-end data pipelines ETL/ELT frameworks and integration patterns. Lead modernization initiatives from legacy platforms to cloud-based data ecosystems. Define data governance metadata management lineage and data quality frameworks. Collaborate with business and technology teams to translate requirements into scalable data solutions. Design real-time and batch data processing architectures. Provide architecture guidance to development teams Establish enterprise standards for master data management (MDM) reference data and analytics enablement. Support AI/ML reporting BI and advanced analytics initiatives
Required Skills & Qualifications
Technical Skills Strong experience in Data Architecture Data Modeling and Data Engineering. Expertise in SQL and database technologies Hands-on experience with Cloud Platforms: o Amazon Web Services (AWS) o Microsoft Azure o Google Cloud Platform (GCP) Experience with Big Data & Data Processing: o Spark Hadoop Kafka Databricks Strong knowledge of ETL/ELT tools: o Ab Initio Informatica Talend DataStage Airflow Experience with Cloud Data Warehouses: o Snowflake Redshift BigQuery Databricks Expertise in data modeling techniques: o Conceptual Logical Physical Data Models o Dimensional Modeling (Star/Snowflake Schema) o Data Vault Modeling Familiarity with data governance tools and frameworks. Experience in API integrations microservices and event-driven architecture. Knowledge of Generative AI / AI-ready data architecture Knowledge of data mesh data fabric and modern data platforms Architecture & Leadership Domain expertise in Banking and Financial sector Strong understanding of enterprise architecture frameworks and best practices. Experience defining data standards reusable frameworks and architecture governance. Ability to lead architecture discussions with CXOs business stakeholders and engineering teams. Experience with Agile/Scrum delivery models. Preferred Certifications AWS Certified Data Analytics / Solutions Architect Snowflake Certification Databricks Certification TOGAF (mandatory)