Job Description

Position Summary:
As a Data Architect, youll be not only hands on but will guide teams in driving strategic data-driven growth. Youll work to surpass our client goals through brand campaigns, acquisition campaigns, site optimization, and/or online testing strategy.

Roles And Responsibilities:
Achieving organizational goals by defining, integrating, and upgrading a comprehensive architecture to support applications, platforms, and databases
Deploying data repositories such as lakes and warehouses.
Contribute to our growing portfolio of data solutions.
Ongoing optimization and management of data platforms.
Development of transformational logic for data pipelines.
Data evangelism
Maintaining database by determining structural requirements and developing and installing solutions.
Ensuring security of all information and computer systems and digital data.
Recommendations to strategic plans and reviews, preparing and completing action plans, implementing production and quality standards, resolving problems, identifying trends, determining system improvements, and implementing change.
Studying organizational mission, goals, and business drivers, and confers with senior management to understand information requirements
Defining infrastructure for design and integration of internet computing systems by analyzing information requirements, studying business operations and user-interface requirements, and directing development of physical database.
Determining platform architecture, technology, and tools.
Confirming architecture capability and flexibility to support high availability web applications by developing analytical models and completing validation tests.
Improving architecture by tracking emerging technologies and evaluating their applicability to business goals and operational requirements.
Communicating technology needs and strategy to fellow members of executive team.
Updating job knowledge by participating in educational opportunities, reading professional publications, and participating in professional organizations.

Qualifications
Deep expertise on data warehouses like (Snowflake/Amazon Redshift)
Build the infrastructure required for optimal extraction, transformation, and loading of data from
a wide variety of data sources using SQL and AWS/Azure big data technologies.
Experience with any relational SQL/NoSQL databases.
Experience with any big data tools are preferable: Spark, Kafka,kinesis etc.
ESB or Integration fabric experience is a must (Mulesoft, Informatica, Zapier etc).
Required Knowledge in Python. Additional skill in Java is preferable
Ability to create data strategies and roadmaps
Understanding of data analysis, business principles, and operation
Ability to design databases that are customer experience focused
Ability to design, implement and maintain Customer experienced focused data architectures
Software architecture and design
Problem-solving capability
Ability to clearly present technical information to fellow technical professionals as well as non-technical peers
Web programming skills
Project management
Research and analytical skills
Ability to improvise and find workarounds
Adaptability and curiosity
Presentation and communication skills
Integrity and trustworthiness with confidential data
Education: Any Graduate
Industry: IT-Hardware/Networking, Telecom

Skills Required