Head - Data Engineering

OverviewEquinix is the world’s digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.Job SummaryWe are seeking a visionary and accomplished engineering leader to serve as the Director of Data Engineering and Analytics. This role will oversee multiple Data Engineering and Analytics teams organized along product lines, that design, build and deploy data products. Central to this body of work is the Platform Engineering team responsible for a cloud-based Data Platform, that serves as the foundation for developing and deploying all data products. The Data Platform also serves as the foundation for developing and deploying all AI products. You will collaborate closely with Platform Engineering, Data Product Management, AI/ML, and Operations to deliver scalable, reliable, and high-quality data solutions that power our business decisions and AI products.ResponsibilitiesProvide strategic and operational leadership for Data Engineering and Analytics teams to build data products, pipelines, and solutions that enable business intelligence, analytics, and AI/ML use casesOversee the development and deployment of scalable ETL/ELT pipelines, data marts, and analytics models that meet enterprise data needsEnsure effective use of the generic frameworks, tools, and platforms to build, test, and deploy data solutions efficientlyPartner closely with peers to align on capabilities, enhancements, and optimizations needed for ingestion, transformation, orchestration, and deployment frameworksDrive a data product mindset, ensuring that data assets are well-architected, high quality, governed, and reusable across the organizationFoster collaboration with Data Product Management, AI/ML teams, and business stakeholders to prioritize and deliver high-impact data solutionsBuild and scale a high-performing team through recruitment, coaching, and mentoring, promoting a culture of innovation, inclusion, and continuous learningProven experience in leading large, distributed teams, managing organizational change, and scaling engineering functionsLead transformational initiatives to modernize data architecture, adopt emerging technologies, and evolve engineering practicesCultivate a collaborative and transparent culture, breaking down silos and aligning cross-functional teams around shared goalsDefine clear objectives, KPIs, and performance metrics for teams, and provide feedback to ensure accountability and growthFocus on automation, efficiency, and quality, while meeting or exceeding delivery timelinesEnsure adherence to data governance, privacy, and security policies in all data engineering and analytics workRepresent Data Engineering and Analytics in cross-functional forums, advocating for best practices, innovation, and alignment with enterprise architectureQualifications15+ years of experience in data engineering, analytics, and technology leadership roles, with demonstrated success in delivering enterprise data solutionsStrong software/data engineering background, having started as an individual contributor and grown into senior leadership rolesProven experience in leading large, distributed teams, managing organizational change, and scaling engineering functionsExpertise in building ETL/ELT pipelines, data warehouses, data marts, and analytics products on top of cloud-native platforms (GCP, AWS, or Azure)E xperience in SQL, Python, and one or more programming languages (Java, Scala, Go, etc.)Deep understanding of data modeling, data computation frameworks, distributed systems, and big data architecturesExperience in working with frameworks and automation tools provided by shared services teamsProficiency in Agile methodologies, DevOps/CI-CD principles, and data governance best practicesStrong collaboration skills with the ability to partner across engineering, product, and business functionsExcellent communication and stakeholder management skills; ability to represent the function internally and externallyBachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related fieldPreferred QualificationsExperience delivering analytics self-service capabilities, conversational analytics and enterprise dashboards using BI tools (e.g., Looker, Power BI, Tableau)Familiarity with AI/ML operationalization, including enabling data pipelines for AI/ML model development and deploymentKnowledge of data mesh principles or federated data architecturesExperience with cost optimization and cloud resource management for data workloadsDemonstrated ability to inspire and influence at all levels of the organization, from engineers to executivesWhat You BringPassion for building data engineering and analytics solutions that enable scalability, trust, and business impactA transformational leadership style that motivates teams to embrace change, challenge the status quo, and deliver breakthrough resultsA people-first mindset, with a strong focus on team development, empowerment, and well-beingA strategic vision for the future of data and analytics, coupled with the operational rigor to execute at scaleEquinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing the form.Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. #J-18808-Ljbffr