Data Architect

CitiusTech; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Job summary

CitiusTech is seeking an experienced Data Architect to define enterprise data architecture and design scalable, secure data solutions aligned with business strategy in Boston, MA. The role shapes target-state architecture, platform capabilities, data patterns, and modernization roadmaps across ingestion, storage, transformation, governance, analytics, and AI consumption.

The ideal candidate combines deep architecture expertise with domain knowledge in Finance, Sales, or Operations and partners

Qualifications

• Enterprise data architecture experience required.
• Snowflake-aligned platform architecture expertise.
• Conceptual, logical, and physical data modeling required.
• Experience with data warehouses, lakehouses, data lakes, and data mesh.
• Strong knowledge of batch, streaming, real-time, API, and event-driven integration.
• Cloud architecture on Azure, AWS, or GCP.
• Metadata, lineage, data quality, privacy, and governance architecture.
• Performance, resilience, availability, disaster recovery, and cost optimization.

Responsibilities

• Design end-to-end data solutions across ingestion, storage, transformation, analytics, and AI consumption.
• Define and evolve target-state architectures and platform capabilities.
• Lead architecture reviews and guide engineering teams.
• Develop reference architectures, reusable patterns, and technology standards.
• Partner with product, engineering, analytics, AI, security, and business leaders on decisions.
• Promote reusable data products and data engineering excellence.

Skills

Data architecture

Snowflake

Data modeling

ETL/ELT

Snowpark

GenAI / AI readiness

APIs / microservices

Cloud architecture

Performance optimization

Tools

Snowflake Data Cloud

Git

CI/CD

Infrastructure as Code

Job description

At CitiusTech, we constantly strive to solve the industry's greatest challenges with technology, creativity, and agility. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence for over 140 organizations through next-generation technologies, solutions, and products. We aim to accelerate the transition to a human-first, sustainable, and digital healthcare ecosystem with the world's leading Healthcare and life sciences organizations and our partners.

Our vision:

To inspire new possibilities for the health ecosystem with technology and human ingenuity.

Role: Data Architect

Role Summary:

• We are seeking an experienced Data Architect to define and evolve enterprise data architecture and design scalable, secure, high-performing data solutions aligned with business strategy. The role will shape target-state architecture, platform capabilities, data patterns, and modernization roadmaps across ingestion, storage, transformation, governance, analytics, and AI consumption.
• The ideal candidate combines deep architecture expertise with strong understanding of Finance, Sales, or Operations. This role partners with Product, Engineering, Analytics, AI, and business leaders to establish architecture direction, guide solution design, and ensure the data platform remains reusable, interoperable, governed, and future‑ready.

Key Responsibilities:

Design Scalable Data Solutions:

• Architect end-to-end data solutions spanning ingestion, integration, transformation, storage, serving, analytics, and AI consumption.
• Define conceptual, logical, and physical data architectures and select appropriate patterns for batch, streaming, and near-real-time use cases.
• Ensure designs meet scalability, performance, resilience, availability, security, and disaster-recovery requirements.
• Lead architecture reviews and guide engineering teams through solution implementation.

Build and Evolve the Data Platform:

• Define target-state architecture for modern data warehouses, lakehouses, data lakes, and analytical platforms.
• Create platform blueprints, reference architectures, reusable patterns, and technology standards.
• Guide legacy modernization and migration to cloud-native, Snowflake-aligned architectures.
• Evaluate platform capabilities and recommend investments based on business value, interoperability, scalability, and cost.

Drive Data Strategy and Collaboration:

• Translate business strategy into data capabilities, architecture roadmaps, and prioritized modernization initiatives.
• Partner with Product, Engineering, Analytics, AI, Security, and business leaders on architecture decisions.
• Communicate trade-offs, risks, dependencies, and recommendations to technical and executive stakeholders.
• Provide architecture leadership and mentor teams on patterns and design decisions.

Ensure Standards and Innovation:

• Establish standards for data modeling, integration, metadata, lineage, quality, interoperability, security, and responsible data use.
• Ensure solution designs align with enterprise architecture, privacy, compliance, and governance principles.
• Evaluate emerging technologies in AI, automation, streaming, and cloud data platforms.
• Promote reusable data products, engineering excellence, and continuous architecture improvement.

Mandatory Skills:

• Enterprise and solution data architecture
• Snowflake-aligned platform architecture
• Conceptual, logical, and physical data modeling
• Data warehouse, lakehouse, and data-lake architecture
• Batch, streaming, real-time, API, and event-driven integration patterns
• Cloud architecture on Azure, AWS, or GCP
• Metadata, lineage, data-quality, privacy, and governance architecture
• Performance, resilience, availability, disaster recovery, and cost optimization
• Architecture standards, reference patterns, design reviews, and technology evaluation

Functional / Domain Experience:

Experience in at least one of the following domains:

• Finance — FP&A, revenue analysis, budgeting, forecasting, or P&L analytics
• Sales — sales operations, pipeline analytics, CRM insights, or revenue growth
• Operations — process optimization, workforce planning, productivity, or operational analytics
• Technical leadership and strategic roadmap development
• Ability to connect business strategy with target-state data capabilities and investment priorities

Technical Skills:

• Snowflake Data Cloud architecture and solution design
• Enterprise data warehousing, lakehouse, data mesh, and data-product architectures
• Dimensional modeling, Data Vault, and semantic data models
• ELT/ETL, CDC, streaming, and data-pipeline architecture
• Snowpark using Python or SQL and Snowflake Cortex AI
• Performance engineering, workload management, and FinOps principles
• Data sharing, Snowflake Marketplace, and Native Applications
• GenAI, LLMs, RAG, vector search, and AI-ready platform architecture
• APIs, event-driven architecture, microservices integration, CI/CD, infrastructure as code, and Git.

Life at CitiusTech:

We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance. Rated by our employees as the Great Place to Work according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.

Our EVP:

Be You Be Awesome is our EVP and it reflects our continuing efforts to create CitiusTech as a great place to work where our employees can thrive, both personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact.