Data Architect

About Infinit-O: As a top Business Process Optimization solutions provider we partner with the world's fastest-growing companies in Financial Services, Healthcare, and Technology, offering data-driven solutions and providing strategic advantage.

Our company has specialized in business process optimization for 18 years now, with a world-class Net Promoter Score of 71, delivering powerful technology and high-performance teams within our highly engaged and agile culture.

What role do we need

We are seeking an experienced Data Architect to lead the design and development of enterprise data solutions that enable data-driven decision-making and digital transformation. This role requires a strategic thinker with strong client-facing capabilities who can understand business objectives, translate them into scalable data architectures, and guide the development of modern data platforms. As a key member of our data and analytics team, you will be responsible for defining data architecture frameworks, designing data models, and ensuring that data platforms are aligned with organizational needs and industry best practices. The ideal candidate is adept at navigating complex data environments, collaborating with cross-functional teams, and driving consensus among stakeholders to deliver high-quality, future-ready data solutions.

Specific Duties and Responsibilities:

Key Responsibilities:

Work with clients to understand the business requirements, design and deliver the data lake, data warehouse.

Work with clients to define data governance and compliance strategy.

Point of escalation for data performance challenges.

Own the end-to-end architecture & best practices, ensuring seamless execution.

Engage with client stakeholders to provide technical insights and solution recommendations.

Ensure data security best practices are followed throughout the lifecycle.

Support production deployments, troubleshooting, and optimization efforts.

Qualifications:

13+ years in Data Architecture & Engineering.

Expertise in Data Modeling, managing and governance of data, developing compliance strategies for data

Demonstrate experience in managing Data Lake, experience in setting up data lakes will be an advantage.

Demonstrate experience in setting up a data warehouse and optimizing it.

Demonstrate experience in setting up, optimizing, and maintaining multiple types of databases(SQL, NoSQL, vector database, graph)

Demonstrate experience in managing compliance (HIPAA, GDPR, CCPA) and how to structure data processing securely.

Strong stakeholder management skills – ability to work with US-based teams remotely