- The candidate must understand the usage of traditional and modern data Engineering technologies/tools for solving business problems and help clients in their data journey.

- The candidate must have knowledge of emerging technologies for data management including data governance, data quality, security, data integration, processing, and provisioning.

- The candidate must possess required soft skills to work with teams and lead medium to large teams.

- Candidate should be comfortable with taking leadership roles, in client projects, presales/consulting, solutioning, business development conversations, execution on data engineering projects.

Key Responsibilities :

A. Client Engagement & Relationship Management :

- Serve as the primary point of contact for clients on data engineering projects, understanding their needs, challenges, and goals.

- Develop and maintain strong client relationships, ensuring high levels of client satisfaction and repeat business.

- Translate client requirements into actionable technical solutions and project plans.

B. Project Management & Delivery :

- Oversee the delivery of data engineering projects from inception to completion, ensuring projects are delivered on time, within scope, and within budget.

- Manage project resources, timelines, and risks, ensuring smooth project execution and delivery.

- Collaborate with cross-functional teams including data scientists, business analysts, and IT professionals to deliver comprehensive data solutions.

C. Technical Leadership & Innovation :

- Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs.

- Stay abreast of industry trends, technologies, and best practices, and implement them in client projects to drive innovation and competitive advantage.

- Provide technical oversight and guidance to the data engineering team, ensuring the adoption of best practices and high-quality output.

D. Team Leadership & Development :

- Lead, mentor, and manage a team of data engineers, fostering a collaborative and high-performance culture.

- Provide professional development opportunities, coaching, and career growth support to team members.

- Ensure the team is equipped with the necessary skills and tools to deliver high-quality consulting services.

E. Data Governance & Quality Assurance :

- Implement and oversee data governance frameworks, ensuring data integrity, security, and compliance across all client projects.

- Establish and enforce data quality standards, ensuring the reliability and accuracy of data used in client solutions.

F. Business Development & Consulting :

- Support business development efforts by contributing to proposals, presenting solutions to prospective clients, and identifying opportunities for expanding client engagements.

- Provide thought leadership in data engineering, contributing to white papers, webinars, and conferences to enhance the companys reputation in the industry

Required Experience :

- Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.)

- 8 to 12 years of data engineering experience with at least 3 years in a managerial role within a consulting or professional services environment.

- Proven experience in managing multiple, complex data engineering projects simultaneously.

- Experience in leading a team of 8 to 12 professionals.

- Strong problem-solving skills and the ability to handle complex, ambiguous situations.

- Exceptional project management skills, with experience in Agile methodologies.

- A client-service mindset and a desire to take on tough and challenging projects

- Effective communication skills, both written and verbal

- Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment.