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Senior Manager of Customer Data Engineering
Senior Manager of Customer Data Engineering-April 2024
Spring
Apr 2, 2026
About Senior Manager of Customer Data Engineering

  Senior Manager of Customer Data Engineering

  Overview: At HP, we are seeking an experienced and dynamic Senior Manager of Customer Data Engineering to lead our team in designing, developing, and integrating solutions for our large enterprise customer data systems. The ideal candidate will have a strong technical background, hands-on experience in data engineering, and a proven track record in managing teams to deliver innovative solutions. This role is highly visible within the enterprise, requiring strong collaboration and communication with executive leaders to discover customer profiles, products, services, and integrate into customer products and features.

  Responsibilities:

  Lead a team of data engineers in designing, developing, and integrating scalable and efficient solutions for managing customer data within a large enterprise environment, focusing on solving complex data integration, data virtualization, and data mesh challenges.

  Drive the strategy and execution of customer data engineering projects, ensuring alignment with business objectives.

  Communicate effectively with executive leaders to provide updates and gather insights on addressing complex data challenges, prioritization, and data patterns design.

  Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that meet or exceed customer expectations.

  Oversee the development and implementation of data pipelines, ETL processes, data models, and data integration solutions to optimize data quality, reliability, and accessibility.

  Define and enforce best practices, standards, and methodologies for data engineering processes and ensure compliance with industry regulations and data governance standards.

  Provide technical leadership, mentorship, and guidance to the team members, fostering a culture of innovation, collaboration, and continuous learning.

  Leadership Behaviors (HP Way): At HP, we embody the core principles of the HP Way in our leadership approach:

  Trust and Respect: Foster an environment of trust and mutual respect within the team and across the organization. Encourage open communication and collaboration among team members.

  Teamwork and Inclusion: Promote a culture of teamwork and inclusivity, valuing diverse perspectives and contributions. Support and empower team members to reach their full potential.

  Innovation and Adaptability: Encourage innovation and a mindset of continuous improvement. Embrace change and adapt to evolving technologies and business requirements.

  Integrity and Accountability: Lead by example with integrity and ethical conduct. Take ownership and accountability for team performance and outcomes.

  Customer Focus: Keep the customer at the center of decision-making processes. Ensure that data solutions align with customer needs and enhance their experience.

  Requirements:

  Bachelor’s or master’s degree in computer science, Engineering, or a related field.

  10+ years of hands-on experience in complex data engineering involving large-scale data systems, data integration, data virtualization, and data mesh strategies.

  Proficiency in data engineering technologies such as SQL, Python, ETL tools, data modeling, and cloud-based data platforms (e.g., AWS, Azure, GCP).

  Strong leadership skills with a demonstrated ability to manage and mentor technical teams in a fast-paced and dynamic environment.

  Excellent communication and interpersonal skills with the ability to collaborate effectively with stakeholders at all levels, including executive leadership.

  Proven track record of delivering high-quality, scalable, and innovative data engineering solutions aligned with business goals.

  Commitment to upholding the values and principles of the HP way.

  Benefits and Compensation:

  Competitive salary commensurate with experience and qualifications.

  Comprehensive benefits package including health, dental, and vision insurance.

  Retirement savings plan with company matching contributions.

  Flexible work schedule and remote work opportunities.

  Professional development and training programs to foster continuous learning and growth.

  Employee assistance programs, wellness initiatives, and other perks.

  Join Us: If you are passionate about leveraging technology to drive impactful solutions, thrive in a collaborative environment, and are dedicated to upholding the values of the HP way, we invite you to apply and join our team as the Senior Manager of Customer Data Engineering.

  HP is an equal opportunity employer committed to diversity and inclusion in the workplace.

  About HP

  You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.

  So

  are we. We love taking on tough challenges, disrupting the status quo,

  and creating what’s next. We’re in search of talented people who are

  inspired by big challenges, driven to learn and grow, and dedicated to

  making a meaningful difference.

  HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

  Our history: HP’s commitment to diversity, equity and inclusion – it's just who we are.

  From the boardroom to factory floor, we create a culture where everyone is

  respected and where people can be themselves, while being a part of

  something bigger than themselves. We celebrate the notion that you can

  belong at HP and bring your authentic self to work each and every day.

  When you do that, you’re more innovative and that helps grow our bottom

  line. Come to HP and thrive!

  Equal Opportunity Employer (EEO):

  HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

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