Principal Data Architect

Zensar Technologies; New York (NY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Flexible work arrangements

Competitive benefits package including medical, dental, vision, 401(k)

Job summary

Zensar Technologies is seeking a Principal Data Architect to lead the design of enterprise-scale data and AI platforms. This role focuses on enabling advanced analytics and data-driven decision-making using modern cloud solutions.

The ideal candidate will possess deep expertise in cloud ecosystems and AI/ML frameworks, driving scalability, governance, and security. This position offers a hybrid work environment, encouraging collaboration and innovation within a supportive team.

Qualifications

• Strong experience in cloud platforms.
• Hands-on experience in AI/ML architecture, including GenAI and RAG.
• Proven ability to design and scale enterprise data platforms.

Responsibilities

• Architect scalable, high-performance cloud data platforms across hyperscalers.
• Drive standardization of data architecture patterns across the organization.
• Define and operationalize MLOps and LLMOps pipelines.

Skills

Cloud platforms: AWS, Azure, or Google Cloud

Modern data platforms: Snowflake, Databricks

AI/ML architecture

Data governance, privacy, and compliance standards

Tools

MLOps/LLMOps tools

Vector databases

Job description

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other—and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition—grow, own, achieve, learn (GOAL)—lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

Location: Hybrid

Role Overview

The Principal Data Architect will lead the design and evolution of enterprise‑scale data and AI platforms, enabling advanced analytics, Generative AI, and data‑driven decision‑making. This role requires deep expertise across cloud ecosystems, modern data architectures, and AI/ML frameworks, with a strong focus on governance, scalability, and security.

Key Responsibilities

• Architect scalable, high-performance cloud data platforms across hyperscalers (AWS, Azure, Google Cloud).
• Design and implement modern data stack solutions leveraging technologies such as Snowflake and Databricks.
• Define data ingestion, transformation, and serving architectures supporting real-time and batch workloads.
• Drive standardization of data architecture patterns across the organization.
• Design and implement architectures for:
• Generative AI solutions
• Retrieval‑Augmented Generation (RAG)
• Vector databases and semantic search frameworks
• Agentic AI frameworks and orchestration patterns
• Define and operationalize MLOps and LLMOps pipelines for model lifecycle management.
• Enable scalable deployment and monitoring of AI/ML models in production environments.

3. Data Governance, Security & Compliance

• Data quality and validation standards
• Data lineage and traceability
• Master Data Management (MDM)
• Implement AI governance controls to:
• Mitigate model hallucinations
• Ensure explainability and reliability
• Protect data privacy and regulatory compliance
• Define access control, encryption, and security best practices for data and AI platforms.

Required Skills & Expertise

• Strong experience in cloud platforms: AWS, Azure, or Google Cloud
• Deep expertise in modern data platforms: Snowflake, Databricks
• Hands‑on experience in AI/ML architecture, including GenAI and RAG
• Knowledge of vector databases (e.g., Pinecone, FAISS, or equivalent)
• Experience with MLOps/LLMOps tools and frameworks
• Strong understanding of data governance, privacy, and compliance standards
• Proven ability to design and scale enterprise data platforms

Leadership & Stakeholder Management

• Provide architectural leadership across multiple programs and portfolios
• Collaborate with business, engineering, and AI teams to align architecture with business outcomes
• Mentor senior engineers and architects on best practices

Preferred Qualifications

• Experience in BFSI or regulated industries
• Certifications in cloud or data platforms (AWS/Azure/GCP/Snowflake/Databricks)

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at: