Netsmart - Data Architect - Spark/Big Data

: 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. - Strong hands-on expertise with: 1. Apache Spark (batch and streaming) 2. Python (data processing, orchestration, automation) 3. Advanced SQL (complex queries, performance tuning) - Extensive experience with AWS data stack, including: 1. S3, Redshift, Glue, Athena, EMR 2. Kinesis / MSK (streaming) 3. Lambda, Step Functions 4. 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.