Company Description

Extentia, a Merkle Company, is a global technology and services firm that helps clients transform and realize their digital strategies. With a unique Experience Centric Transformation approach, Extentia’s ground-breaking solutions are in the space of mobile, cloud, and design. The team is differentiated by an emphasis on excellent design skills that they bring to every project. Focused on enterprise mobility, cloud computing, and user experiences, Extentia strives to accomplish and surpass their customers’ business goals. The company’s inclusive work environment and culture inspire team members to be innovative and creative and to provide clients with an exceptional partnership experience.

Job Details

Position: Azure Data Architect

Experience: 8 to 10 years

Work Mode: Onsite

Location: Bangalore

Notice Period: Immediate

Job Responsibilities

The ideal profile should have a strong foundation in data concepts, design, and strategy, with the ability to work across diverse technologies in an agnostic manner. Must have hands on experience as an Azure Data Architect.

Transactional Database Architecture

 Design and implement high-performance, reliable, and scalable transactional database architectures.

 Collaborate with cross-functional teams to understand transactional data requirements and create solutions that ensure data consistency, integrity, and availability.

 Optimize database designs and recommend best practices and technology stacks.

 Oversee the management of entire transactional databases, including modernization and de-

duplication initiatives.

Data Lake Architecture

 Design and implement data lakes that consolidate data from disparate sources into a unified, scalable storage solution.

 Architect and deploy cloud-based or on-premises data lake infrastructure.

 Ensure self-service capabilities across the data engineering space for the business.

 Work closely with Data Engineers, Product Owners, and Business teams.

Data Integration & Governance

 Understand ingestion and orchestration strategies.

 Implement data sharing, data exchange, and assess data sensitivity and criticality to recommend appropriate designs.

 Basic understanding of data governance practices.

Innovation

 Evaluate and implement new technologies, tools, and frameworks to improve data accessibility,

performance, and scalability.

 Stay up to date with industry trends and best practices to continuously innovate and enhance the data architecture strategy.

Skills: data engineering,database,data,transactional database design,lake,architecture,data integration,data analytics,database management,azure data architecture,data governance,performance optimization,data lake architecture,azure,cloud computing