Job Summary:

• The Data Architect will play a pivotal role in designing and implementing data architecture to support the company's data-driven initiatives. This role will work closely with the Architect Team, Data Science, and Product Team to create a scalable, secure, and efficient data infrastructure that enables to effective utilization of data for decision-making and strategic insights

Main Responsibilities:

• Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, databasedevelopment standards, and implementation and management of data warehouses.
• Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
• Coordinating and collaborating with architect team and stakeholders, for the smooth functioning of data extracted.
• Managing end-to-end data architecture, from designing the technical architecture, and supporting developing the application to finally testing and implementing the proposed solution.
• Defining and managing the flow of data within the organization.
• Ensuring data accessibility, accuracy, and security.
• Conducting a continuous audit of data management system performance, refining whenever required, and reporting immediately any breach or loopholes to the stakeholders.
• Coaching and mentoring engineering and following up with best practices.

Other qualifications include:

• Bachelor’s degree in computer science, computer engineering, or relevant field.
• 8+ years of professional experience in the data engineering track / Development ·
• A minimum of 3 years of experience in a similar role as a Data Architect.
• Excellent organizational and analytical abilities ·
• Outstanding problem solver.
• Ability to work collaboratively in a team environment.
• Ability to balance competing priorities and expectations.
• Ability to clearly document operational procedures and solution designs.
• Professional experience optimizing building and maintaining data pipelines. ·
• Experience with cloud-based data solutions (AWS, Azure, or Google Cloud) ·
• Good knowledge of NO SQL databases like Cosmos DB and big query. ·
• Very Good in Tableau or Power BI ·
• Very Good knowledge of DAX, MDX, TSQL, and HQL.
• Knowledge of programming languages Python is preferred.
• Awareness of PRDs methodology.

Benefits:

• Competitive salary.
• Pension Plan scheme as per company policy.
• Premium Family medical insurance.
• Exclusive access to our circles with the ultimate credit limit and reserved 1st slots.
• Unlimited annual leave policy.
• Mentorship and career growth.
• Entrepreneurial working environment.