Data Architect (Princeton)

Build what’s next in Healthcare AI

is a leading digital and enterprise AI company for healthcare and life sciences organizations. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable. Leveraging deep domain expertise and next-generation technologies including AI, Cloud, Data, and Intelligent Automation, we assist our clients to realize their vision, accelerate transformation, and achieve business outcomes. With 7,700+ healthcare technology professionals worldwide, CitiusTech powers digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products.

Why CitiusTech

Healthcare isn't just another industry for us. It's our singular focus.

For 21+ years, we have combined technology and domain expertise to shape better healthcare outcomes. As part of CitiusTech, you will build future-ready skills while becoming an expert in a domain where innovation creates real human impact.

Here's an opportunity to be part of that journey.

What you’ll be doing

'We are looking for a highly experienced Senior Data Architect with 10-12+ years of experience in designing, building, and optimizing enterprise data platforms within the Healthcare domain. The ideal candidate must possess strong hands-on expertise in Snowflake, SQL, Medallion Architecture, and Provider Data Management. The candidate will be responsible for designing scalable and high-performing data solutions, developing and optimizing ETL/ELT pipelines, implementing Medallion Architecture frameworks, and ensuring data quality and governance across healthcare data platforms. As a client-facing role, the candidate should be comfortable interacting directly with business stakeholders, conducting solutioning workshops, gathering requirements, and translating business needs into technical solutions. The individual will also be expected to provide technical leadership, mentor team members, and drive successful project.

Responsibilities: -

• Design and implement scalable Snowflake-based data warehouse solutions.
• Build and maintain Medallion Architecture (Bronze, Silver, Gold) data platforms.
• Develop and optimize complex SQL queries, data transformations, and performance tuning strategies.
• Work extensively with Healthcare data, preferably Provider Data, ensuring accuracy, consistency, and compliance.
• Collaborate with business users, architects, and cross-functional teams to deliver data-driven solutions.
• Establish and enforce best practices for data engineering, governance, and quality.
• Perform data analysis, reconciliation, and validation using advanced Excel techniques.
• Lead client discussions, architecture reviews, and technical solution presentations.
• Support implementation of modern data engineering practices and cloud-based data platforms.
• The ideal candidate should demonstrate strong analytical thinking, excellent communication skills, and the ability to drive complex Healthcare data initiatives from requirements through implementation.

Educational Qualifications: -

• Engineering Degree – BE / ME / BTech / M Tech / B.Sc. / M.Sc. Or any Bachelors Degree
• Technical certification in multiple technologies is desirable.

Mandatory Technical skills: -

• 12+ years of overall experience in Data Engineering and Data Warehousing
• 5+ years of hands-on experience with Snowflake (mandatory)
• Strong Healthcare domain experience (mandatory)
• Experience working with Provider Data, Provider Network
• Expert-level SQL development, optimization, and performance tuning
• Deep understanding and implementation experience of Medallion Architecture (Bronze, Silver, Gold layers)
• Experience designing and developing scalable ETL/ELT pipelines
• Strong Data Modeling and Data Warehousing expertise
• Advanced Excel skills for data analysis, reconciliation, and validation
• Client-facing experience with strong stakeholder management and communication skills
• Ability to lead technical discussions, requirement gathering, and solution design workshops
• Experience with data quality, governance, lineage, and best practices
• Git Experience - Expert knowledge of Git workflows including branching strategies, pull requests, merge conflict resolution, rebasing, code reviews, and release management.
• Master Data - Experience designing Master Data Management solutions, reference data structures, crosswalk tables, source-to-target mapping strategies
• Data Modeling - Strong expertise in dimensional modeling, natural and surrogate key strategies, referential integrity, uniqueness enforcement, and scalable schema
• Desired Skills '• Azure Data Factory (ADF) • Databricks • dbt • Python • Azure Cloud Services • CI/CD implementation experience • Agile/Scrum delivery methodology • Experience in Healthcare Analytics and Reporting • Team leadership and mentoring experience

Good to have skills: -

• Knowledge of Healthcare domain experience.
• Snowflake, Microsoft Fabric, Unity Catalog.
• Data Observability, Data Quality, and Metadata Management tools.
• AI/ML and Generative AI exposure.
• Azure/GCP/.

We are driven by one simple philosophy

Be You Be Awesome

We believe great careers are shaped by:

• Faster growth
• Higher learning
• Stronger impact

You'll be encouraged to bring your perspective, challenge conventions, learn from experts, and contribute to work that directly influences the future of healthcare.

Because when people are empowered to be themselves, they do their best work.

Build expertise beyond the role

At CitiusTech, learning doesn't stop with your project responsibilities. You'll have opportunities to build expertise across emerging technologies, industry domains, and next-generation engineering practices.

Areas you can explore:

• AI & GenAI (LLMs, prompt engineering basics)
• Digital Engineering (DevOps & CI/CD, Full Stack Development)
• Data Engineering & Cloud (Modern Data Stack, Data Pipelines, Databricks / Snowflake)
• Interoperability & Integration (HL7 and FHIR)
• Cybersecurity (IAM, Azure Security, AWS Security Hub)
• Analytics (Advanced Analytics, Predictive / Prescriptive Analytics, AI/ML Models, Healthcare Analytics)
• Healthcare Platforms (Digital Health Platforms, Revenue Cycle Management - RCM)
• Product Engineering (Product-led Development, UX/UI Engineering, SaaS Product Engineering)

Growth that keeps pace with your ambition

Your career journey is supported through:

• CitiusTech Academy Programs
• Leadership Development Programs
• Mentorship Initiatives
• Capability-led Learning Tracks
• Specialized Healthcare Certifications

We invest in helping our people build future-ready skills and accelerate their professional growth.

Our approach to working

We design work environments that enable teams to deliver meaningful outcomes.

Depending on project and client needs, you may work across on-site, hybrid, or flexible models to maximize impact and collaboration.

Join CitiusTech. Build what’s next in Healthcare AI.

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