Data Architect (AWS) - Bangalore
Description
Hi
We are having opening for Data Architect (AWS) - Bangalore
The role:
Kloud9 is seeking a Data Architect with hands-on AWS experience to design and govern enterprise data platforms. The role covers architecture for a large legacy data hub migration and a multi-brand data platform for a US retail client, including technical standards, design authority and client-facing architecture engagement.
Working Days: Monday Friday
Job Timing: Dayshift
Position / DesignationData Architect (AWS)QualificationBachelor's degree in a technical field like Computer Science, Information Technology, or Data ScienceYears of Experience10 to 15 years, with at least 4 years in a data architect rolePermanent / Contract (If contract, period ?)Permanent Full TimeLocation Bangalore
First Floor, Shrutha Complex, Primrose Road, Ashok Nagar, Bengaluru, Karnataka 560025Office / Remote / HybridHybridNumber of post1GenderMale / FemaleAnnual CTC / SalaryUpto 45 to 60 LPASelection Process 3 Technical round Job Role & Responsibility / Skills
- Define the end-to-end architecture of lakehouse and data warehouse platforms on AWS, from ingestion through curated and consumption layers.
- Lead the migration of legacy data hubs and warehouses (on-premise databases, mainframe or AS400 sources, legacy ETL tools) to the cloud, including migration strategy, cutover planning and data reconciliation.
- Design reusable onboarding patterns for new brands, business units and source systems.
- Develop canonical, dimensional and Data Vault models as appropriate to the use case.
- Define the platform approach for data quality, lineage, cataloguing and observability.
- Define CI/CD, branching, environment and release strategy for data pipelines.
- Serve as design authority, conduct design reviews and mentor data engineers and technical leads.
- Optimise platform cost and performance, and communicate trade-offs to stakeholders.
- Support pre-sales with solution design, estimation and client workshops.
- Engage with US-based client architects and business stakeholders, with partial overlap with US time zones as required.
Skills
- 10 to 15 years of experience in data engineering and architecture, including at least 4 years in an architect role on enterprise data platforms.
- Hands-on expertise in AWS data services such as S3, Glue, EMR, Redshift, Athena, Lake Formation, Kinesis or MSK, Step Functions or MWAA, and IAM.
- Strong Spark (PySpark or Scala) and SQL skills; experience with Databricks or a comparable lakehouse platform.
- Experience delivering at least one legacy warehouse or data hub migration to the cloud through to production.
- Strong knowledge of data modelling, data quality frameworks and metadata management.
- Working knowledge of CI/CD tools (GitLab, GitHub Actions, CircleCI or Jenkins) and infrastructure as code (Terraform or CloudFormation).
- Experience with retail or consumer brands data (orders, inventory, pricing, promotions, customer) is preferred.
- Excellent communication and stakeholder management skills.
Good to Have
- AWS Certified Data Engineer or Solutions Architect Professional certification.
- Experience with streaming architectures and near-real-time data products.
- Experience applying AI assistants or agents in data engineering workflows.
- Experience on fixed-price engagements.
Why Kloud9
- Large, multi-year enterprise data programmes with significant architectural and technical ownership.
- A collaborative leadership culture grounded in servant leadership.
- Exposure to AI-native delivery practices, including agent-assisted mapping, code generation and testing.
- Hybrid working model from Bengaluru.
Joining DateNeed Immediate to 15 days
Skills
- AI
- AS/400
- Athena
- AWS
- CI/CD
- CircleCI
- Cloud
- CloudFormation
- Data Engineering
- Data Modeling
- Data Pipelines
- Data Quality
- Data Science
- Data Vault
- Data Warehousing
- Databricks
- ETL
- GitHub
- GitHub Actions
- GitLab
- IAM
- Infrastructure as Code
- Jenkins
- Kinesis
- Lakehouse
- Mainframe
- Metadata Management
- Observability
- Pre-sales
- PySpark
- Redshift
- S3
- Scala
- Solution Design
- Spark
- SQL
- Stakeholder Management
- Terraform
- Vault