Data Architect

Job Description

I am sharing the job description (JD) for the Data Architect role. We are looking for someone who can join as soon as possible, and I have included a few key bullet points below. The ideal candidate should have between 6 to 8 years of experience, and I am flexible in terms of a strong profile. Job Description: Key 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. 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. Location: Pune Brand: Merkle Time Type: Full time Contract Type: Permanent