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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:

- 13-17 years of overall IT experience with 8 years in data architecture / big data roles.
- Solid hands-on expertise with:

1.

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.

📌 Netsmart - Data Architect - Spark/Big Data (India)
🏢 Netsmart Technologies
📍 India