Job Description
• JOB Description:

Experienced data architect profile with strong expertise in enterprise data architecture, integration architecture, data modeling, database design, and SQL, with proficiency in at least one cloud platform. Strong understanding of data integration and management tools (Fabric, Mulesoft, IBM Sterling, Apache NiFi etc.), ETL/ELT, data warehousing, big data technologies, metadata management, data governance, master and reference data, and scalable data platforms that support analytics and AI/ML workloads.
Skills Requirements:• Strong organizational, communication, and stakeholder management skills, with the ability to lead client workshops, internal architecture discussions, and proposals.
• Robust experience in enterprise data architecture, including conceptual, logical, and physical data modeling for transactional and analytical systems.
• Hands-on experience designing data platforms and pipelines using Apache NiFi and related integration technologies, with knowledge of data formats such as JSON, XML, and Avro, and protocols such as HTTP, TCP,



and Kafka.
• Experience designing modern data architectures including data lakes, lakehouses, data warehouses, ETL/ELT frameworks, and batch and streaming ingestion patterns.
• Strong understanding of data governance, metadata management, data lineage, data cataloging, master/reference data management, and data quality practices including profiling, validation, reconciliation, and stewardship.
• Strong knowledge of database design, SQL, query optimization, performance tuning, partitioning, indexing, and scalable cloud data architecture.
• Experience designing secure data architectures with focus on data classification, encryption, masking, access control, retention, privacy, and regulatory compliance.
• Ability to define data strategy, architecture standards, reusable patterns, and non-functional requirements for scalability, availability, observability, reliability, and disaster recovery.
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🏢 EdgeVerve Systems
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