Data Architect

Greetings from TCS!!
We are hiring for Data & Integration Architect
Key Role Requirements
Define and govern Curtin'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.
Lead the Person 360 implementation, including Universal Curtin ID, identity resolution, matching and survivorship rules, Golden Person Record, lifecycle context, relationship modelling, and single view of person.
Establish governed Person 360 data services and APIs for My Curtin, 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
12+ 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)

Work arrangement
No