AWS Data Architect
Bengaluru · Staff/Principal
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Job description
It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description:
Position Summary:
Key Responsibilities
Data Architecture & Strategy
- Define and implement enterprise data architecture roadmap aligned with business objectives.
- Design scalable Data Lakehouse and Data Warehouse solutions on AWS.
- Establish data modeling standards, architecture frameworks, and best practices.
- Develop data integration strategies for structured, semi-structured, and unstructured datasets.
- Collaborate with business stakeholders, analytics teams, and IT leadership to deliver data-driven solutions.
AWS Data Platform Design
- Architect end-to-end data solutions using AWS services
- Design secure and high-performing cloud-native data platforms.
- Optimize data storage, data processing, and query performance.
Data Lakehouse & Data Warehouse
- Implement modern Lakehouse architectures using technologies such as:
- Databricks
- Delta Lake
- Apache Iceberg
- Apache Hudi
- Design dimensional and enterprise data warehouse models.
- Create scalable ETL/ELT frameworks to support analytics and reporting requirements.
- Enable real-time and batch data processing capabilities.
Data Governance & Security
- Implement data governance, metadata management, lineage, and data quality frameworks.
- Ensure compliance with security and regulatory requirements.
- Define role-based access controls and data protection strategies.
- Partner with cybersecurity teams to maintain data security standards.
Data Integration & Engineering
- Design and oversee enterprise data pipelines.
- Lead cloud migration initiatives from legacy on-premise platforms to AWS.
- Integrate ERP, CRM, eCommerce, supply chain, finance, and third-party systems.
- Drive automation and CI/CD practices for data platform deployments.
Required Qualifications
- Bachelor's or master's degree in engineering, or related field.
- 10+ years of experience in Data Architecture, Data Engineering, or Data Platform Management.
- 5+ years of experience in AWS cloud-based data solutions.
- Strong expertise in:
- Data Lakehouse Architecture
- Enterprise Data Warehouse Design
- Data Modeling (Dimensional & Data Vault)
- ETL/ELT Frameworks
- Big Data Technologies
- Hands-on experience with SQL and Python.
- Strong understanding of cloud-native architecture principles.
Required Technical Skills
AWS
- Amazon S3
- AWS Glue
- AWS Lake Formation
- Amazon Redshift
- Amazon Athena
- Amazon EMR
- AWS Lambda
- Amazon Kinesis
- AWS IAM
- AWS CloudFormation/Terraform
Databases & Warehousing
- Snowflake
- Amazon Redshift
- PostgreSQL
- SQL Server
- Oracle
- MySQL
Big Data & Lakehouse
- Databricks
- Delta Lake
- Apache Spark
- Apache Iceberg
- Apache Hudi
Preferred Certifications
- AWS Certified Solutions Architect – Professional
- AWS Certified Data Engineer – Associate
- AWS Certified Data Analytics – Specialty
- Databricks Certified Data Engineer
- Snowflake Certification
Ideal Candidate: An AWS Data Architect who can lead data modernization initiatives, drive Data Lakehouse adoption, and deliver scalable, secure, and high-performance analytics platforms supporting business growth and digital transformation.
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