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 contemporary 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.

📌 Data Architect - On-site, Bangalore (Bengaluru)
🏢 Netsmart Technologies
📍 Bengaluru