Data Architect - On-site, Bangalore

We are seeking a highly experienced Data Architect to design, build, and govern scalable, secure, and high-performance data platforms on AWS. The ideal candidate will have deep expertise in modern data architectures, big data processing (Spark), strong hands-on programming skills (Python, SQL), and the ability to translate business requirements into robust data solutions.

Role & responsibilities

• Design and define enterprise-level data architecture aligned with business and technology strategy
• Architect and implement cloud-native data platforms on AWS (data lakes, data warehouses, lakehouse architectures)
• Lead design and optimization of batch and real-time data pipelines using Spark and related frameworks
• Establish data modeling standards (conceptual, logical, physical) for analytical and operational use cases
• Ensure data quality, governance, security, and compliance across platforms
• Provide architectural guidance for ETL/ELT frameworks, metadata management, and lineage
• Collaborate with data engineering, analytics, DevOps, and business stakeholders
• Evaluate and recommend tools, frameworks, and best practices for data stack modernization
• Mentor senior data engineers and review solution designs and code
• Support performance tuning, cost optimization, and scalability of AWS data services

Preferred candidate profile

• 12 - 15 years of overall IT experience with 8+ years in data architecture / big data roles
• Strong hands-on expertise with:
• Apache Spark (batch and streaming)
• Python (data processing, orchestration, automation)
• Advanced SQL (complex queries, performance tuning)
• Extensive experience with AWS data stack, including:
• S3, Redshift, Glue, Athena, EMR
• Kinesis / MSK (streaming)
• Lambda, Step Functions
• IAM, CloudWatch, encryption, security best practices
• Strong knowledge of data warehousing, data lakes, and lakehouse architectures
• Experience with ETL/ELT tools and frameworks
• Solid understanding of data governance, metadata, cataloging, and data quality frameworks
• Proven ability to work with large-scale, high-volume, high-velocity data systems
• Willingness to work Monday to Thursday from Bangalore office

Good to Have

• Experience with Iceberg / Delta Lake / Hudi
• Exposure to Snowflake, Databricks, or other modern analytics platforms
• Knowledge of CI/CD for data pipelines and Infrastructure as Code (Terraform/CloudFormation)
• Experience in domain-driven data architecture (banking, retail, healthcare, etc.)
• AWS Certifications (Data Analytics / Solutions Architect)

Soft Skills

• Strong communication and stakeholder management skills
• Ability to influence architectural decisions across teams
• Strategic thinking with hands-on execution mindset
• Leadership and mentoring capabilities

Qualifications:

Education

Requires a bachelors degree in computer information systems or computer science or equivalent combination of experience and education.