AWS Data Architecture
Role details
Job location
Tech stack
Job description
Inspiration Global seeking a AWS Data Architecture with natural curiosity and a technical mindset who is interested in actively learning, growing, and taking on more responsibility, Own and develop relationships, act as technical point of contact., The AWS Data Architect will be responsible for defining and governing the overall data
architecture required to support migration of legacy systems into the AWS PLC Data Layer.
This role will lead data mapping, transformation design, and migration patterns to ensure
data migration solutions are scalable, repeatable, and aligned with AWS best practices and, Define AWS data architecture and migration patterns for ingesting data from source
systems (e.g., Oracle, CSV) into AWS (S3, data lake, Aurora).
Lead data mapping and design activities including source-to-target mappings,
transformation rules, and canonical data model development.
Establish reusable ingestion and transformation patterns leveraging AWS services
such as S3, Glue, and Aurora.
Define data quality and validation approaches including row reconciliation,
referential integrity, and business rule validation.
Collaborate with stakeholders to evaluate architecture decisions, tradeoffs, and
performance considerations.
Work closely with database engineers, data engineers, and SMEs to support
migration build, testing, and cutover readiness.
Document data architecture, migration patterns, and process flows in alignment
with project standards.
Ensure alignment to data governance requirements including classification, access
control, and metadata standards.
Provide architectural guidance and resolve data design issues during migration
execution.
Requirements
7+ years of experience in data architecture, data migration, or data platform design.
Strong experience with AWS data services including S3, Glue, and Aurora/RDS.
Strong experience with data modeling (conceptual, logical, physical) and canonical
data model design.
Experience designing data migration patterns, ingestion pipelines, and
transformation logic.
Experience implementing data validation and reconciliation strategies.
Experience with legacy-to-cloud data migration (Oracle or similar).
Previous experience delivering cloud-based solutions with cross-functional teams.
Previous experience creating architecture documentation including diagrams and
process flows.
Nice to have:
Experience with AWS Database Migration Service (DMS) and Schema Conversion
Tool (SCT).
Experience with Salesforce data integration patterns (external ID loads, CSV/JDBC).
AWS certifications (Solutions Architect, Data Engineer, etc.)