Associate Program Manager

Job Title: Data Engineering Lead

Company Overview:

At eClerx, we are a leading IT firm specializing in cutting-edge technologies and solutions for our clients. We are pioneers in innovative business process management, change management, data-driven insights, and advanced analytics powered by subject matter experts and smart automation. Our expertise enables clients to improve operational efficiency, productivity, speed, and quality in rapidly evolving markets. We pride ourselves on delivering end-to-end solutions with a strong focus on client collaboration and technical excellence.

Job Description:

We are seeking an experienced and highly skilled Data Engineering Lead to join our team. This role requires a visionary leader who will oversee the design, development, and delivery of scalable data infrastructure and solutions, while serving as a trusted technical partner to clients. You will manage a team of data engineers, guide solutioning efforts, and ensure timely and high-quality delivery of data projects aligned with client needs.

Responsibilities:

• Lead and mentor a team of data engineers, providing technical guidance and fostering a culture of innovation and continuous improvement.
• Collaborate closely with clients, data scientists, software engineers, and analysts to gather requirements and architect scalable, robust data solutions.
• Drive solution design and technical delivery end-to-end, managing project timelines, risks, and quality to ensure successful outcomes.
• Serve as the primary technical point of contact for clients, managing expectations, providing regular updates, and addressing technical concerns promptly.
• Lead presales and solutioning activities, including responding to RFPs, preparing technical proposals, and facilitating client workshops to define requirements and solutions.
• Design, implement, and maintain data lakes, data pipelines, data warehouses, and ETL/ELT workflows using modern technologies such as Snowflake, Databricks, Apache Spark, and cloud platforms.
• Optimize data workflows and pipelines to maximize performance, scalability, and data quality.
• Establish and enforce data engineering best practices, ensuring data governance, integrity, and compliance with industry standards.
• Stay current with emerging data engineering, analytics, and cloud technologies, driving innovation and adoption of best practices.
• Collaborate with cross-functional teams to define standards, tools, and processes to improve productivity and solution delivery.
• Conduct performance evaluations, identify skill gaps, and promote professional growth within the team.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Minimum 15 years of experience in data engineering, with at least 9 years in senior or leadership roles overseeing complex data infrastructure projects.
• Proven experience in solution design, delivery management, and client-facing roles within data engineering or analytics domains.
• Hands-on expertise with Databricks, Apache Spark, Snowflake, and cloud platforms (AWS, Azure, GCP).
• Strong programming skills in Python, Scala, or Java, and proficiency with SQL.
• Deep understanding of data modeling, data warehousing, ETL/ELT, and big data technologies (Hadoop, Kafka, etc.).
• Demonstrated ability to lead presales engagements including RFP responses, technical proposals, and client workshops.
• Exceptional leadership skills with experience managing and motivating high-performing technical teams.
• Excellent problem-solving, analytical, and communication skills, capable of engaging technical and non-technical stakeholders including senior leadership.
• Familiarity with CI/CD, data orchestration tools (e.g., Apache Airflow), and data governance frameworks is a plus.
• Experience driving innovation and continuous improvement in data engineering practices.