Join the Code360 Team: Sr Data Architect
Are you passionate about data architecture, enterprise architecture, cloud technologies, governance and driving data modernization initiatives?
Code360 is seeking a highly motivated Sr data Architect to join our innovative and mission-focused team. In this role, you will lead the design and evolution of enterprise solutions, guiding data. architecture strategy, data and cloud integration, and governance frameworks to support mission-critical decision-making and scalable technology solutions.
This is a mostly a remote position with some on-site requirement, offering flexibility and the opportunity to collaborate with a diverse team of talented professionals committed to technical excellence and meaningful impact.
NOTE: This position is contingent upon contract award.
What You Should Know:
We value our culture and connection, plus flexibility to work from home. We are currently designing hybrid options. Due to the nature of the project, candidates must be a US Citizen.
We need your Software Development skills! What other skills will help you succeed at Code360? Glad you asked! We’re excited about candidates who can accomplish the following:
What We’re Looking For
We are seeking an experienced Senior Data Architect to provide strategic and technical leadership in support of our customer’s mission objectives. The ideal candidate will lead the design and modernization of enterprise data architectures across complex CMS and federal healthcare environments, with a strong focus on AWS-based, scalable, secure, and analytics-driven solutions.
The candidate should bring deep experience with CMS healthcare data environments, including IDR, CCW, QPP, Medicare claims, beneficiary, provider, quality, and payment data, and be able to translate business and program needs into robust data models, integration patterns, and cloud-native architectures. Strong experience with Snowflakes, Databricks, AWS data services, data lakes, data warehouses, lakehouse architectures, ETL/ELT, large-scale data processing, analytics, and reporting platforms is essential. Relevant technologies may include Amazon S3, AWS Glue, Amazon Redshift, Amazon RDS/Aurora, Athena, EMR, Lambda, Kinesis, and related AWS services.
The candidate should also have strong experience designing data architectures that enable business intelligence, dashboards, executive reporting, and advanced data visualization, using tools such as Tableau and other enterprise BI platforms. This includes developing optimized data models and semantic layers for visualization, enabling self-service analytics, improving reporting performance, and ensuring consistent and trusted data across dashboards and analytical products.
The role requires a strong understanding of data governance, metadata management, data lineage, data quality, security, privacy, and federal compliance standards such as CMS ARS, NIST, as well as experience supporting CMS architecture and technical governance processes. The Senior Data Architect will collaborate across business, engineering, analytics, security, and program teams; identify and mitigate technical and data risks; and provide architectural direction for reliable, resilient, high-performing, and cost-effective AWS data solutions.
The ideal candidate will also demonstrate experience delivering advanced analytics, statistical analysis, business intelligence, and data-driven solutions that support CMS program operations, quality measurement, model performance, risk adjustment, financial analysis, and executive decision-making.
Responsibilities and Contributions:
- Provide strategic and technical leadership for enterprise data architecture, aligning data solutions with CMS mission, program, and business objectives.
- Design and modernize scalable, secure, resilient, and high-performing AWS-based data architectures for large-scale federal healthcare environments.
- Architect data lakes, data warehouses, lakehouse platforms, operational data stores, and analytical environments using AWS services such as S3, Glue, Redshift, RDS/Aurora, Athena, EMR, Lambda, and related technologies.
- Provide architectural leadership for CMS data environments and datasets, including IDR, CCW, QPP, Medicare claims, beneficiary, provider, quality, payment, and program-performance data.
- Develop and maintain conceptual, logical, and physical data models, enterprise data flows, integration patterns, reference architectures, and target-state architecture roadmaps.
- Design and oversee ETL/ELT pipelines, data ingestion, transformation, integration, validation, storage, and distribution across large and complex healthcare datasets.
- Establish and enforce data governance, metadata management, data lineage, data quality, master/reference data, and data stewardship standards and practices.
- Architect data solutions supporting advanced analytics, statistical analysis, predictive modeling, AI/ML, business intelligence, and executive decision support.
- Enable enterprise data visualization and reporting solutions using Tableau and other BI platforms, including optimized analytical data models, dashboards, and self-service analytics capabilities.
- Design data solutions supporting CMS quality measurement, risk adjustment, beneficiary/provider attribution, model performance, healthcare utilization, cost analysis, and financial reconciliation.
- Ensure data architectures comply with CMS/HHS security, privacy, NIST, and other applicable federal cybersecurity and compliance requirements.
- Evaluate and recommend AWS data technologies, architecture patterns, and cloud-native services based on scalability, security, availability, performance, maintainability, and cost.
- Collaborate with business stakeholders, Data Engineers, Data Scientists, Analysts, BI Developers, Application Teams, Security Engineers, and Program Leadership to translate business requirements into effective technical solutions.
- Identify and mitigate data architecture risks, data-quality issues, performance bottlenecks, technical debt, integration dependencies, and scalability challenges.
- Develop architecture documentation and provide technical guidance through CMS architecture reviews, technical governance, solution design reviews, and modernization initiatives.
Qualifications:
- 10+ years of experience in data architecture, data engineering, database architecture, analytics architecture, or related technical disciplines.
- 5+ years of experience serving as a Senior Data Architect, Enterprise Data Architect, or Data Solutions Architect in large-scale enterprise environments with Snowflakes, Databricks
- Demonstrated experience supporting CMS, HHS, or other federal healthcare programs, with strong knowledge of healthcare data and federal IT environments.
- Hands-on experience with CMS data environments and datasets, including IDR, CCW, QPP, Medicare claims, beneficiary, provider, quality, payment, and program-performance data.
- Strong experience designing and implementing AWS-based data architectures, including data lakes, data warehouses, lakehouse platforms, analytical environments, and large-scale data processing solutions.
- Experience with AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon RDS/Aurora, Athena, EMR, Lambda, Kinesis, and related cloud-native services.
- Strong expertise in conceptual, logical, and physical data modeling, dimensional modeling, relational data design, and enterprise data architecture principles.
- Experience designing ETL/ELT pipelines, data ingestion, transformation, integration, validation, and large-volume data processing.
- Strong knowledge of data governance, metadata management, data lineage, data quality, master/reference data, and data stewardship practices.
- Experience enabling business intelligence, data visualization, dashboards, and analytical reporting using Tableau or comparable enterprise BI platforms.
- Strong understanding of CMS/HHS security, privacy, NIST, and federal compliance requirements for protecting sensitive healthcare and program data.
- Experience architecting solutions for advanced analytics, statistical analysis, predictive modeling, AI/ML, and executive decision support.
- Demonstrated ability to collaborate with business, engineering, analytics, security, and program stakeholders and translate complex requirements into scalable technical solutions.
- Strong written and verbal communication skills, including the ability to produce and present architecture diagrams, data-flow models, technical designs, and architecture recommendations.
Preferred Qualifications:
- Direct experience supporting Centers for Medicare & Medicaid Services (CMS) programs and enterprise data initiatives.
- In-depth experience working with CMS IDR, CCW, and QPP environments, including understanding of their data structures, analytical uses, and downstream reporting needs.
- Experience with CMS Innovation Center / CMMI models, program evaluation, model operations, or model-performance analytics.
- Experience with risk adjustment, quality measurement, beneficiary/provider attribution, financial reconciliation, healthcare utilization, and cost analytics.
- Experience designing architectures that integrate and analyze data across multiple CMS enterprise data sources.
- Advanced experience with Tableau architecture, dashboard performance optimization, semantic/data modeling, and self-service analytics enablement.
- Experience with Databricks, Snowflake, Amazon SageMaker, or other advanced analytics and AI/ML platforms.
- Experience supporting CMS enterprise architecture, technical governance, solution design reviews, or cloud modernization initiatives.
- Experience with Infrastructure as Code, DevSecOps, automated data deployment pipelines, and cloud security best practices.
- Experience designing for high availability, disaster recovery, scalability, observability, performance optimization, and cloud cost management.
- Familiarity with Zero Trust principles, IAM, encryption, logging, auditing, and secure data-access patterns in AWS environments.
- Relevant certifications such as AWS Certified Solutions Architect – Professional, AWS Certified Data Engineer, TOGAF, DAMA/CDMP, Databricks, or Tableau certifications.
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Statistics, or a related discipline; master’s degree preferred.
Compensation:
We believe in paying people fairly, so we've established a compensation model that ensures everyone at Code360 — regardless of race, ethnicity, gender, sexual orientation, disability, religion, age, nationality, or negotiation skills — is given equal pay for equal work.
So What’s Next?
Code360 has good success rate in providing valuable resources to our customers in the past. This is primarily because of our robust hiring strategy. We believe in time well spent in finding the right candidate is time saved in getting the job done effectively. Our hiring process does not start with getting a job description, we engage with the hiring manager to understand the key expectation for an ideal candidate, and we strive hard to find the right candidates to get the job done.
Our hiring strategy involves identifying the experience levels of the candidates, multiple rounds of interviews are conducted with online hands-on coding exercise, diagramming skills, checking the candidate’s knowledge levels. We also engage certified Scrum Agile Practitioners and professionals certified in the relevant technology to screen the candidates. We make sure that the ideal candidate has the desired technical skill as well as the right attitude to blend into the team in order to achieve maximum productivity in short span of time.
Why Code360?
Our employees deserve a better life… better health! And, every member of the Code360 team has something to share, and we value the unique viewpoint you’ll bring to our community. Code360 offers signature benefits that helps our employees stays in balance with work and life.
Here are a few highlights of our benefits package:
- Signature benefits
- Family-friendly workplace
- 3 weeks accrued PTO + 11 federal holidays
- Excellent PPO and HSA health, dental and vision plans with the maximized Employer contribution
- Professional Development/Certifications and Tuition Reimbursement
- Employer sponsored LTD, STD and Basic Life Insurance
- 401(k) plan with employer contributions
About Code360:
Code360 Inc., is an IT Digital Services company providing software development and consulting services, specializing in advanced Health IT, IT Governance, Cloud, Software Development, Business Intelligence and Open Standards and technologies.
We are specialized in enabling seamless automation and best IT practices, agency governance into Solution Architecture, Health IT, Cloud, and Business Intelligence technologies to develop robust, secure, and stable 360-degree solutions to achieve greater results.
That’s not our only goal, though. We also strive to create a purple culture that makes our employees excited to come to work every day. That’s why we encourage our employees to pursue their passions, both in and out of the office.
Code360 believes in equal opportunity employment. We won’t discriminate against any employee or applicant on the basis of race, gender, nationality, age, religion, disability, military status, or sexual orientation. As a company and as individuals, we’re committed to providing an inclusive and welcoming environment for our team, our family members, our clients, our subcontractors, and our vendors.
Job Type: Full-time
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Professional development assistance
- Retirement plan
- Tuition reimbursement
- Vision insurance
Application Question(s):
- Are you legally authorized to work in the United States? Please provide your work authorization details.
Experience:
- Centers for Medicare & Medicaid (CMS) working: 3 years (Required)
- Data lake: 3 years (Required)
- Big data: 2 years (Required)
- Data science: 2 years (Required)
- Data governance: 5 years (Required)
- Snowflake: 3 years (Required)
- Databricks: 3 years (Required)
- Data Architecture: 10 years (Required)
- AWS: 5 years (Required)
Work Location: Remote
