Senior Data Engineer

Role: Data Engineering Practice Leader

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Mode:

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Position Summary:

Data engineering Practice Leader

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.
• 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.