Manager-Data Engineering

Cardinal Health; India; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Cardinal Health is seeking a Data Engineering Lead to oversee multiple teams focused on Data Transformation within Enterprise Space. The role emphasizes software engineering and DevOps practices to support large-scale data platforms, analytics, and AI/ML initiatives on Google Cloud.

A product mindset and Agile execution will drive new capabilities and automation across Data Platforms. The candidate will guide teams, collaborate with product managers, developers, and QA to ensure high-quality

Qualifications

• Experience leading data engineering teams and delivering enterprise data platforms.
• 8+ years in Big Data, Data Lakes, or Analytics leadership roles.
• Proficient in data movement and cloud data warehouse technologies including GCP.

Responsibilities

• Manage department operations and supervise teams, vendor resources, and staff.
• Recruit, coach, and develop talent within the team.

Skills

Data Leadership

Cloud Data Ops

Agile/Scrum

Stakeholder Management

Team Building

Education

Bachelor's degree or equivalent

Tools

GCP

BigQuery

Cloud Storage

CI/CD

Job description

Job overview

Data Engineering Lead will be responsible for managing and maintaining multiple teams focused on Data Transformation Operation within Enterprise Space. The Manager applies Software Engineering, and DevOps practices to guide the team in maintaining large-scale enterprise data layers supporting Analytics and Machine Learning solutions leveraging Google Cloud technologies. The Manager brings in a product mindset and leverages AGILE practices to craft and drive iterations to support building new capabilities, addressing gaps and drive automations for Data Platforms and solutions. Additionally, the Manager brings in a Service Provider mindset, demonstrate exceptional interpersonal skills, strong leadership, relationship management to build a strong and cohesive team that focuses on building new capabilities and operations.

Responsibilities

• Manages department operations and supervises professional employees, vendor resources and/or business support staff
• Responsible for recruiting, staffing, coaching, and developing talent within the team.
• Responsible for setting a shared service practice that helps deliver transformation capabilities and operations to support Analytics and AI/ML solutions within Operational Data Lake and related systems.
• Responsible for managing enterprise scale Data transformation operations
• Planning, demand management, budgetary management, and operational metrics for Data Transformation.
• Manages expectations with key stakeholders, builds and fosters relationships
• Participates in the development of policies and procedures to achieve specific goals
• Provide hands‑on software development and project management, cross-functional coordination, and inter/intra team communications to deliver outstanding delivery outcomes.
• Build consensus across teams and drive them towards results.
• Work closely with developers, quality engineers, product managers and other teams to get high‑quality products and features through SDLC.
• Manage delivery schedules, identify possible issues and clearly communicate them to stakeholders.
• Take responsibility for schedules and milestones, keeping high velocity in a fast paced environment.
• Negotiates with stakeholders to obtain the resources necessary for successful project execution.
• Coordinates with Cloud Platform teams for process standardization for streamlined operations around Data Load, Deployment and data monitoring.
• Ensures employees operate within guidelines and standards as defined by the compliance, Organizational governance as well as CoE of related technology.
• Demonstrates ability to communicate complex information clearly and concisely to a variety of audiences and mediums.

Qualifications

• Bachelor's degree preferred or equivalent work experience
• Experience managing teams of 10+ resources including full time, contract and/or vendor resources
• 8+ years of experience in Big Data systems, Data Lakes and Analytics related field managing Build & RUN teams
• Knowledge in Data Movement Technologies and Cloud Data Warehouse technologies including but not limited to experience with GCP, Big Query, Google Cloud Storage.
• Prefer experience managing teams and service delivery in an ODC (Offshore Delivery Center) setting for MNC (multi-national company)
• Excellent knowledge of Scrum techniques and artifacts (such as definition of done, user stories, showcases/demos, user story estimation, backlog refinement)
• Ability to develop individuals along a professional career path
• Excellent oral and written communication skills
• Prefer experience with DevOps Agile practices

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day.

Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities. We are a crucial link between the clinical and operational sides of healthcare, delivering end‑to‑end solutions and data‑driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care. With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges — now, and in the future.