Senior Manager, Data Engineering and Analytics - Pune, India - Workday India Private Limited

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    Full time
    Description

    About the Role

    We're seeking a passionate and innovative Sr. Manager, Data Engineering and Analytics to spearhead our team of hardworking data engineers and analysts. You'll be instrumental in building and maintaining a machine learning focused data lake with robust real time data pipelines that fuel our advanced analytics and business insights initiatives. You'll play a key role in architecting and implementing scalable data solutions using innovative technologies.

    Primary Responsibilities

    Strategic Leadership:

  • Develop and implement a comprehensive data engineering vision and roadmap aligned with business goals.
  • Prioritize data engineering projects to maximize impact on business intelligence and analytics initiatives.
  • Collaborate with cross-functional teams (executives, business analysts, project managers, data scientists) to understand data needs and translate them into technical requirements.
  • Advocate for the value of data engineering as a core driver of data-driven decision making.
  • Team Management & Mentorship:

  • Lead and mentor data engineers and analysts, fostering a collaborative, impactful environment.
  • Recruit, hire, and onboard versatile data engineering professionals.
  • Set measurable performance goals for team members and provide ongoing feedback for development.
  • Technical Expertise:

  • Lead the entire data engineering lifecycle, encompassing data collection, modeling, transformation, storage, and delivery.
  • Design and implement robust, scalable data pipelines using powerful data engineering tools and frameworks.
  • Ensure the integrity, security, and availability of data assets within the organization.
  • Stay ahead of industry trends and emerging technologies especially as relates to data engineering for machine learning.
  • Functional Expertise:

  • Focus forward by bridging business needs with innovative technology solutions.
  • Continuously develop functional and business expertise along the way.
  • Project Management:

  • Manage data initiatives effectively, defining clear objectives, timelines, and measurable results.
  • Allocate resources and budget effectively for successful project execution.
  • Identify and resolve potential roadblocks, ensuring projects run smoothly and achieve timelines.
  • Communicate project progress and results clearly and concisely to technical and non-technical audiences.
  • Communication & Collaboration:

  • Partner with stakeholders across departments (finance, business technology, data science) to ensure data pipelines support organizational goals.
  • Foster an inclusive culture of learning and collaboration within the data engineering team.
  • Present advanced technical concepts in a clear and understandable manner to both technical and non-technical audiences.
  • About You

    You're a data rockstar with more than just technical chops. You're a problem-solving leader with a collaborative spirit and passionate about your work. Here's what makes you a perfect fit:

    Leadership:

  • A seasoned pro with 12+ years of experience in data engineering, software development, or database administration (large-scale, real-time distributed systems).
  • You've demonstrably led and developed teams (architects, data engineers, analysts) for 5+ years.
  • You've orchestrated sophisticated data lakehouse, data warehouse, and data mesh implementations using modern ETL/ELT frameworks.
  • You have a talent for encouraging collaboration across all levels (executives, business partners, data scientists) with your strong business knowledge, communication, and interpersonal skills.
  • Importantly, you're a mentor who cultivates an inclusive learning environment for your globally diverse team.
  • Technical Expertise:

  • You're the authority on data modeling, database design, ETL processes, real-time streaming pipelines, and data warehousing.
  • You're experienced with innovative technologies like Snowflake and Databricks, comfortable with data visualization tools (Tableau, Power BI, Sigma), and knowledgeable with cloud services like AWS (or similar platforms).
  • Graph-based data workflows (Apache Airflow), ML DataOps, and the software development process (SDLC) hold no mysteries for you.
  • Bonus Points:

  • A Master's degree or equivalent experience in a relevant field (Statistics, Applied Mathematics, Computer Science, Data Science, Business) is a plus.
  • Experience with machine learning projects, MLOps, or similar is the cherry on top
  • This role is about more than just technical skills. We're looking for a passionate leader who thrives on using data to make a real impact. Are you that person?