Data Architect

Simple, a Netsmart solution; Bengaluru; On-site; INR 1,200,000 - 1,500,000; Full time

Job summary

Netsmart invites an experienced Data Architect to lead the design and evolution of enterprise-scale data platforms that support analytics, reporting, and operational needs. You will define data strategy, models, governance standards, and scalable cloud-based solutions, partnering with engineering, analytics, DevOps, and business teams.

The ideal candidate combines architecture expertise with hands-on knowledge of modern data platforms, cloud technologies, and large-scale processing, and will

Qualifications

• 12+ years of experience in data engineering, analytics, data platform, or data architecture roles.
• Experience designing enterprise-scale data architectures.
• Strong knowledge of cloud-based data platforms (AWS, Azure, GCP).
• Experience with data warehousing and data lakes.
• SQL proficiency and Python or similar language.
• Understanding of data governance, metadata management, data quality and security.

Responsibilities

• Design and define enterprise data architecture aligned with business and technology strategy.
• Architect and guide implementation of cloud-native data platforms, including data lakes and data warehouses.
• Lead the design of scalable batch and real-time data processing solutions.
• Establish and govern data modeling standards (conceptual, logical, physical).
• Drive best practices for data quality, security, governance, metadata management.
• Provide architectural guidance for data integration, ETL/ELT frameworks, and data lifecycle management.
• Collaborate with data engineering, analytics, infrastructure, and business stakeholders to deliver enterprise data solutions.
• Evaluate and recommend tools, frameworks, and emerging technologies to modernize the data ecosystem.
• Mentor engineers and architects through design reviews, technical guidance, and architecture best practices.
• Support platform scalability, reliability, and cost efficiency.

Skills

Data architecture

Data modeling

Cloud platforms

Data governance

Leadership

SQL

Python

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Apache Spark

Databricks

Snowflake

Iceberg

Delta Lake

Terraform

Job description

Job Description Summary

Data Architect with 13+ years of experience is accountable for driving productivity and ensuring successful delivery of web-based development initiatives across assigned products. They are responsible for hiring, developing, and continuously coaching team members. Serving as the technical authority for multiple key Netsmart modules or products, the Data Architect is recognized within the organization as a technology and solution visionary.

Job Summary

We are looking for an experienced Data Architect to lead the design and evolution of enterprise-scale data platforms and architectures that support analytics, reporting, and operational data needs. This role will be responsible for defining data strategy, data models, governance standards, and scalable cloud-based data solutions while partnering closely with engineering, analytics, DevOps, and business teams.

The ideal candidate combines strong architecture experience with hands‑on knowledge of modern data platforms, cloud technologies, and large-scale data processing.

Key Responsibilities

• Design and define enterprise data architecture aligned with business and technology strategy.
• Architect and guide implementation of cloud-native data platforms, including data lakes, data warehouses, and modern analytical architectures.
• Lead the design of scalable batch and real‑time data processing solutions.
• Establish and govern data modeling standards (conceptual, logical, and physical models).
• Drive best practices for data quality, security, governance, metadata management, and compliance.
• Provide architectural guidance for data integration, ETL/ELT frameworks, and data lifecycle management.
• Collaborate with data engineering, analytics, infrastructure, and business stakeholders to deliver enterprise data solutions.
• Evaluate and recommend tools, frameworks, and emerging technologies to modernize the data ecosystem.
• Mentor engineers and architects through design reviews, technical guidance, and architecture best practices.
• Support platform scalability, reliability, performance optimization, and cost efficiency.

Required Skills & Experience

• 12+ years of experience in data engineering, analytics, data platform, or data architecture roles.
• Proven experience designing and implementing enterprise-scale data architectures.
• Strong understanding of cloud-based data platforms and data pipelines on public cloud providers such as AWS, Azure, or GCP.
• Experience with data warehousing, data lakes, and modern analytical architectures.
• Strong knowledge of data modeling principles and best practices.
• Experience designing solutions for both batch and real‑time data processing.
• Proficiency in SQL and experience with Python or similar programming languages.
• Understanding of data governance, metadata management, data quality, and security frameworks.
• Experience working with large-scale, high-volume data environments.
• Strong communication, stakeholder management, and leadership skills.

Preferred Qualifications

• Experience with Apache Spark and large-scale distributed data processing.
• Experience with AWS, Azure, or GCP data services and cloud-native architectures.
• Experience with modern analytics and data platforms such as Databricks, Snowflake, or similar technologies.
• Familiarity with modern table formats and lakehouse technologies such as Iceberg, Delta Lake, or Apache Hudi.
• Knowledge of CI/CD practices, Infrastructure as Code (Terraform, CloudFormation, or equivalent).
• Experience in regulated or enterprise domains such as healthcare, financial services, retail, or manufacturing.
• Relevant cloud certifications (AWS, Azure, or GCP).

Education

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent combination of education and experience.

Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate.

Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug‑free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post‑offer candidates are required to successfully complete a pre‑employment background check, which is provided at Netsmart’s sole expense.