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Data Engineer - Artificial Intelligence / Machine Learning

Data Engineer - Artificial Intelligence / Machine Learning

TrellisFalconBangalore
30+ days ago
Job description

Job Description :

Job Title : Data Engineering Practice Leader

Location : BANGALORE

Job Type : Full Time

Experience : 15 - 20

About Role :

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.

Key Responsibilities :

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

Must have skills :

  • 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, BigQuery), ETL / ELT, and data Quality and governance
  • Excellent leadership, communication, and interpersonal skills
  • Strong analytical, problem-solving, and strategic thinking

    • (ref : hirist.tech)

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