Data Integration Architect

Tata Consultancy Services Limited; Kolkata District, Indore District; Sur place; INR 3 000 000 - 6 000 000; Plein temps

Résumé du poste

Tata Consultancy Services Limited is seeking a Data & Integration Architect for Kolkata/Indore with 8–13 years of experience to lead target-state data and integration architecture aligned with AWS Digital Platform and governance standards.

You will design scalable patterns (batch, real-time, API-led, streaming) and evolve the AWS lakehouse, establish Person 360 data services, and mentor delivery squads while driving data governance and security practices.

Qualifications

• 8+ years in data, integration, solution architecture, or enterprise platform engineering.
• 5+ years architecting AWS-based enterprise data and integration platforms.
• Experience with Person 360 / Customer 360, identity resolution, Golden Record, MDM, API-led integration, event-driven architecture and data governance.

Responsabilités

• Define and govern the target-state data and integration architecture aligned with AWS Digital Platform, enterprise standards, security controls, data strategy, and Architecture Decision Records.
• Design scalable batch, real-time, event-driven, API-led, streaming, CDC, SaaS, and file-based integration patterns across systems of record and digital channels.
• Architect and evolve the AWS lakehouse including ingestion, raw, curated and transformed data zones, metadata, lineage, security, data quality, and governed consumption.
• Lead architecture reviews and technical workshops; mentor delivery squads and collaborate with EA, governance, security, and product teams.

Connaissances

Data Architecture

AWS

API-led Integration

Event-driven Architecture

MDM / Person 360

Data Modeling

Data Governance

Data Quality

Security & Compliance

Architecture Reviews

Outils

AWS Lake Formation

Redshift/Athena/OpenSearch

Glue/Data Catalog

Kinesis/EventBridge

Description du poste

Role - Data & Integration Architect

Exp - 8 to 13 yrs

Location - Kolkata/Indore

Key Role Requirements

• Define and govern Client's target-state data and integration architecture, aligned with the existing AWS Digital Platform, enterprise architecture standards, security controls, data strategy, and Architecture Decision Records.
• Design scalable batch, real-time, event-driven, API-led, streaming, CDC, SaaS, and file-based integration patterns across systems of record, domain platforms, and digital channels.
• Architect and evolve the AWS lakehouse, covering ingestion, raw, curated and transformed data zones, metadata, lineage, security, data quality, analytics, and governed data consumption.
• Establish governed Person 360 data services and APIs for Adobe experience capabilities, CRM, ServiceNow, analytics, AI, and other authorised consumers.
• Define master and reference data management, canonical models, data products, business glossary, ownership, stewardship, consent, preference, privacy, retention, and audit requirements.
• Lead architecture reviews and technical workshops; collaborate with Enterprise Architecture, data governance, integration, security, platform/product teams, AWS stakeholders, and delivery squads; and support knowledge transfer and mentoring.
• Bring strong hands-on expertise in AWS data and integration services, API management, event streaming, ETL/ELT, MDM, data modelling, data quality, governance, and Person 360 delivery.

Key Skills & Experience

• 8+ years in data, integration, solution architecture, or enterprise platform engineering.
• 5+ years architecting AWS-based enterprise data and integration platforms.
• Strong experience with Person 360 / Customer 360, identity resolution, Golden Record, MDM, API-led integration, event-driven architecture, and data governance.
• Experience supporting large-scale digital transformation programs, preferably in higher education or complex multi-domain environments.

Data, Integration & Person 360

• AWS lakehouse architecture and Apache Iceberg patterns
• ETL / ELT, batch, streaming, CDC, event-driven and API-led integration
• Identity resolution, probabilistic and deterministic matching, survivorship and Golden Record
• Canonical data models, metadata, lineage, catalogue, data quality and data products
• Consent, preferences, privacy, lifecycle context and unified engagement history
• REST APIs, integration standards, reusable connectors and service contracts

AWS Services

• Amazon S3, Redshift, Athena and OpenSearch
• AWS Glue, Glue Data Quality and Glue Data Catalog
• AWS Lake Formation and AWS DataZone
• AWS DMS, AppFlow and DataSync
• Amazon Kinesis and Amazon EventBridge
• AWS Lambda and AWS Step Functions
• Amazon API Gateway, SNS and SQS
• Amazon RDS, Aurora and DynamoDB
• Amazon MWAA (preferred)
• Amazon SageMaker and Amazon Bedrock exposure preferred
• CloudWatch, IAM, KMS and Macie

Preferred Certifications

• AWS Certified Solutions Architect - Professional
• AWS Certified Data Engineer - Associate
• AWS Certified Machine Learning - Specialty (preferred)
• TOGAF or equivalent enterprise architecture certification (preferred)
• Data management, integration or governance certification (preferred)