Title: Associate Director – Big Data Architect - Engineering

Grade Level: 12

Location: Mumbai, INDIA

Job Description:

S&P Global Ratings is looking for an Associate Director - Big Data Architect to join the Data Lake team within Data Services group, a team of data and technology professionals who define and execute the strategic data roadmap for S&P Global Ratings. The successful candidate will participate in the design and implementation of S&P Ratings cutting edge data services and analytical solutions.

The Team

The Data Lake team is responsible for data ingestion from internal source systems in batch/real-time modes, curation and governance of the data assets created in the platform. The team also works towards adopting the new features of the Databricks product and optimizing the operational aspects of the platform to enhance the user community experience.  The team has a broad and expert knowledge on Ratings organization’s critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy.

The Impact: You will work alongside a  high visibility team, architect and provide hands-on support to the Rating Organization’s Data Services Product Engineering Team with a unique opportunity to build and evolve S&P Ratings next gen data and analytics platform.

Our Hiring Manager Says

If you are an individual that brings demonstrated experience of architecting and delivering data lake/lakehouse solutions, this is an excellent opportunity. We are looking for someone who has in-depth technical knowledge around data lake systems, is completely hands-on and worked on transformational initiatives for the business.

Responsibilities:                                       

• Design & Build data pipelines with an emphasis on scale, performance and reliability.
• Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
• Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
• Partner with the data teams, enterprise architecture organization to ensure best use of standards for the key data domains and use cases
• Continuous learner with an eye on emerging trends around data lake architecture and enterprise data solutions.
• Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards
• Design and maintain the overall architecture for the product(s)/platform(s) in alignment with enterprise architecture and platform strategy (including architectural roadmaps).

Experience & Qualifications:

• BE, MCA or MS degree in Computer Science or Information Technology
• 10+ years of experience building solutions in big data technologies.
• Strong experience programming with more than one of Java, Scala, Python, Spark.
• Hands-on experience designing and building streaming data pipelines using Kafka, Confluent etc.
• Strong understanding of cloud platforms like AWS, Azure, or GCP, and their services (e.g., EC2, S3, AKS, EKS, etc.).
• Must have experience building and leading teams delivering cloud based Data Lake & Data warehouse solutions on Databricks with sound understanding of Delta Lake, DeltaLiveTables, Structured Streaming, Change Data Feed features**.**
• Strong understanding of database and analytical technologies in the industry including MPP and NoSQL databases
• Should have a keen eye towards cloud and data storage cost optimizations. 
• Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage.
• Expert knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally.
• Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management
• Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners
• Ability to prioritize and manage work to critical project timelines in a fast-paced environment
• Financial services industry experience is an added advantage.
• Databricks experience or certifications is an added advantage.
• AWS or any public cloud certification is a must.