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Data Engineering Practice Leader
Data Engineering Practice LeaderRiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) • India
Data Engineering Practice Leader

Data Engineering Practice Leader

RiDiK (a Subsidiary of CLPS. Nasdaq : CLPS) • India
11 hours ago
Job description

Job Position Title : Data engineering Practice Leade

Company : RiDiK Pte Ltd

Location - Pune

Skills :

J We're hiring a Data engineering Practice Leader to drive our data and AI initiatives. This senior role demands over 20 years of deep data engineering expertise and a clear focus on revenue recognition and profitability management . You'll need proven skills in partnership development and direct accountability for practice build and delivery .

You'll shape our practice strategy, expand our offerings, and ensure successful delivery of complex data and AI solutions. This role involves leading a high-performing team, fostering client and partner relationships, and owning the practice's solutioning team, RFP responses and financial performance and growth.

Responsibilities :

  • Strategic Growth & P&L : Define and execute the Data & AI practice strategy, identifying new market opportunities and expanding capabilities. Lead business development, including pre-sales and solutioning. Manage practice P&L, focusing on revenue recognition and profitability .
  • Deep Data & AI Expertise : Provide expert guidance in data engineering (architecture, warehousing, ETL / ELT, data lakes, pipelines, governance). Stay current with AI / ML, big data, and cloud platforms (AWS, Azure, GCP). Oversee the design and implementation of scalable, secure data solutions.
  • Innovation & Emerging Tech : Actively explore and champion cutting-edge data and AI, especially Agentic AI-based automation . Drive R&D to integrate new technologies and foster an innovation culture.
  • Partnership Development : Establish and nurture strategic partnerships with vendors and industry groups. Collaborate on joint solutions and go-to-market strategies. Represent the company at industry events.
  • Delivery Excellence : Accountable for the successful delivery of all Data & AI projects , ensuring on-time, on-budget, high-quality execution. Implement robust project management and continuously improve delivery processes.
  • Team Leadership : Build, mentor, and lead a high-performing team of data engineers, data scientists, and AI specialists. Foster a culture of learning and collaboration, implementing effective performance management.

Qualifications :

  • 20+ years in data engineering , significant time in leadership.
  • Proven experience designing and managing large-scale modern architecture data platforms.
  • Strong grasp of AI / ML concepts and business applications .
  • Track record of managing revenue recognition and profitability .
  • Exceptional skills in developing and managing strategic partnerships .
  • Extensive experience with cloud data platforms (AWS, Azure, GCP).
  • Demonstrated interest and exposure to emerging AI, including Agentic AI and advanced automation.
  • Proficiency in Spark, Databricks, databases (SQL, NoSQL), data warehousing (Snowflake, Redshift, Big Query), ETL / ELT, and data Quality and governance.
  • Excellent leadership, communication, and interpersonal skills.
  • Strong analytical, problem-solving, and strategic thinking.
  • Bachelor's or master’s in computer science, Engineering, or related field. MBA is a plus.
  • About CLPS RiDiK

    RiDiK is a global technology solutions provider and a subsidiary of CLPS Incorporation (NASDAQ : CLPS), delivering cutting-edge end-to-end services across banking, wealth management, and e-commerce. With deep expertise in AI, cloud, big data, and blockchain, we support clients across Asia, North America, and the Middle East in driving digital transformation and achieving sustainable growth. Operating from regional hubs in 10 countries and backed by a global delivery network, we combine local insight with technical excellence to deliver real, measurable impact. Join RiDiK and be part of an innovative, fast-growing team shaping the future of technology across industries.

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