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.
Skills Required
- 12-17 years overall IT experience with 8+ years in data architecture / big data roles
- Hands-on experience with Apache Spark (batch and streaming)
- Python for data processing, orchestration, and automation
- Advanced SQL including complex queries and performance tuning
- Extensive experience with AWS data stack: S3, Redshift, Glue, Athena, EMR
- Experience with streaming on AWS: Kinesis or MSK
- Experience with AWS serverless/orchestration: Lambda and Step Functions
- Knowledge of AWS security and operations: IAM, CloudWatch, encryption, security best practices
- Strong knowledge of data warehousing, data lakes, and lakehouse architectures
- Experience with ETL/ELT tools and frameworks and metadata management/lineage
- Solid understanding of data governance, metadata/cataloging, and data quality frameworks
- Proven ability to work with large-scale, high-volume, high-velocity data systems
- Bachelor's degree in computer information systems, computer science, or equivalent experience
- Experience with Iceberg, Delta Lake, or Hudi
- Exposure to Snowflake or Databricks
- 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)
NetSmart Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NetSmart and has not been reviewed or approved by NetSmart.
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Wellbeing & Lifestyle Benefits — Offerings include a designated mental wellness day, paid volunteer time, telehealth, wellness events, and free 1:1 sessions with counselors and coaches. These wellbeing resources are positioned as stronger than many employers.
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Healthcare Strength — Medical, dental, and vision coverage are paired with short- and long‑term disability and telehealth. The breadth of core health coverage aligns with a comprehensive package.
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Leave & Time Off Breadth — PTO, paid holidays, paid volunteer time, and a designated mental wellness day are part of the offering, with some materials referencing flexible or unlimited PTO. This variety provides multiple avenues for time away.
NetSmart Insights
What We Do
Netsmart designs, builds and delivers electronic health records (EHRs), solutions and services that are powerful, intuitive and easy-to-use. Our platform provides accurate, up-to-date information that is easily accessible to care team members in behavioral health, care at home, senior living and social services. We make the complex simple and personalized so our clients can concentrate on what they do best: provide services and treatment that support whole-person care. By leveraging the powerful Netsmart network, care providers can seamlessly and securely integrate information across communities, collaborate on the most effective treatments and improve outcomes for those in their care. Our streamlined systems and personalized workflows put relevant information at the fingertips of users when and where they need it. For 50 years, Netsmart has been committed to providing a common platform to integrate care. SIMPLE. PERSONAL. POWERFUL. Our more than 2,200 associates work hand-in-hand with our 600,000+ users in more than 25,000 organizations across the U.S. to develop and deploy technology that automates and coordinates everything from clinical to financial to administrative.
