What You'll Do

• Contribute and lead the data strategy across the firm
• Evangelize the adoption of data platforms across engineering teams managing varied datasets
• Be a technical leader in driving solutions around data modeling, data pipelining & orchestration, data transport, and access control
• Establish policies, tenets, and processes that help guide the data transformation
• Propose and review solutions on design across engineering teams as they onboard onto the data platform
• Engage actively with the tech community via blogs, knowledge-sharing sessions, and scale teams to support future growth
• Lead by example – build solutions that leverage the data platform thereby accelerating the transformation across the firm
• Contribute to Arti fact Repository - It includes ideas, designs, frameworks, policies, processes, and so on
• Mentor Senior Engineers across the firm by providing guidance and coaching

What You'll Need

• A bachelor's degree in engineering with 13+ years of experience in IT industry
• Deep understanding of one or more of the data processing frameworks like Spark, Flink, Kafka Streams, Dataflow, or similar
• Good understanding of data pipelines, distributed systems, large-scale data processing
• Hands-on experience in building near real-time data ETL, ELT, and normalization on
• Experience with data modeling, schema evolution, and governance
• Hands-on experience in evaluating opensource frameworks, exploration of libraries and tools using rapid prototyping
• Experience in preparing business proposals with benefits and driver, financial merits
• Strong technical leadership with a bias toward engineering and operational excellence
• Experience guiding/mentoring highly skilled engineers and driving projects across the firm