Data Engineering Architect

About the Position

This role involves leveraging advanced data technologies to drive business outcomes in the media and advertising sector, focusing on scalability and performance optimization. Successful candidates will be adept at collaborating across teams to implement comprehensive data strategies and ensure robust, secure data management.

Technical and Professional Requirements

• Candidate should have good experience into the following tech stack:

• Big Query / Big Data / Hadoop / Snowflake
• Programming / Scripting Languages like Python / Java / Go
• Hands on experience in defining and implementing various Machine Learning models for different business needs.
• Hands on experience in handling various performance and data scalability problems.
• Knowledge in Advertising Domain and varied experience in working on different data sets such as Campaign Performance, Ad Performance, Attribution, Audience Data etc.

Job Responsibilities:

• Designing and implementing an overall data strategy as per business requirements. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
• Identification of data sources, internal and external, and defining a plan for data management as per business data strategy.
• Collaborating with cross-functional teams for the smooth functioning of the enterprise data system.
• Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.
• Planning and execution of big data solutions using Big Query, Big Data, Hadoop, Snowflake.
• Integrating technical functionality, ensuring data accessibility, accuracy, and security.

Educational Requirements:

Any Graduate with 60% and above