Role: Big Data Architect

Compensation: 30 to 50 LPA (Based on expertise and experience)

Experience: 10+ years

Location: Chennai (On-Site)

Role: As a Data Architect, you will work with multiple teams to deliver solutions on the Azure/AWS/GCP Cloud using core cloud data warehouse tools. In addition to building the next generation of application data platforms (not infrastructure) and/or improving recent implementations. Experience in Databricks and Spark on other cloud platforms like AWS and GCP is also relevant.

Who are we?

At Univ.AI, we help build great futures for professionals in all things data, and in management careers related to data/data science/data engineering and data-driven platforms. We are also a premier international AI consultancy that hires top talent for projects at our client network of top companies. We are committed to hiring the best for the best jobs available.

Our Founding Team

• Siddharth Das – Former CEO, Reliance Jio Financial Technologies; M.S., Massachusetts Institute of Technology
• Rahul Dave – Former Faculty, Harvard University; PhD. UPenn
• Pavlos Protopapas – Director of M.S. Program in Data Science-IACS, Harvard University; PhD. UPenn
• Achuta Kadambi – Assistant Professor and Computer Vision leader; PhD. Massachusetts Institute of Technology
• Raghu Meka – Associate Professor, UCLA; Leader in computer science theory, Researcher, Microsoft; PhD, The University of Texas, Austin

Responsibilities:

These are some typical responsibilities you will have:

• Lead the data design of solutions for large projects and programs; through expert knowledge translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
• Direct large specialist teams and manage senior business stakeholders to secure strong engagement
• Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the group
• Lead collaborative team working with other areas to ensure that all solutions are complete, operable, conform to business processes and meet the business needs with the agreed quality of service
• Ensure the project has end-to-end solution and compliance with enterprise data model and logical data groups
• Lead and participate in the peer review and quality assurance of project architectural artifacts. Report key architecture decisions and implications to the architectural governance forums
• Identify and communicate appropriate resource requirements and work breakdown structure based on skills profile and best fit to complete the end-to-end solution design, and work with the project manager to ensure that project plans and finances align with the design
• Drive project knowledge back to the enterprise data model and ensure that it evolves correctly
• Lead the design, development, implementation and maintenance of complex data systems and solutions
• Develop conceptual, logical and physical data models to support data analysis and business intelligence
• Create and maintain current- and target-state data architectures.
• Define and manage standards, guidelines and processes to ensure data quality
• Ensure technology solutions are in alignment with data architecture principles and target state
• Oversee end-to-end data life cycle management activities

We will be looking for the following skills:

• Experience with distributed management and analytics in the cloud (preferred AWS) and
• hybrid environments. Also, an understanding of a variety of data access and analytics
• approaches (for example, microservices and event-based architectures).
• Entity Relationship modelling, metadata systems, data quality tools and techniques
• Experience with database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Teradata,
• Snowflake, Redshift)
• Experience developing reference architecture, principles and standards
• Strong analytical and problem-solving skills
• Ability to communicate across all levels of the organization and work with diverse
• project teams
• Experience with ETL and other business intelligence tools
• Ability to regularly learn and adopt new technology
• Experience in data warehousing, data modelling and/or data analysis
• Good knowledge of data management, data integration and database development
• techniques
• Experience in or knowledge of utilities business domains is a plus.

Job Type: Full-time

Salary: ₹3,500,000.00 – ₹5,000,000.00 per year

Schedule:

• Monday to Friday

Ability to commute/relocate:

• Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)