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Equinix
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Director - Data Engineering & Analytics

Director - Data Engineering & Analytics

Equinix

15 - 20 years

40 - 45 Lacs

Bengaluru

Posted:2 weeks ago| Platform:

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Skills Required

Product management Computer science Data modeling Business intelligence Resource management Operations Analytics SQL Recruitment Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Who are we?

Equinix is the world s digital infrastructure company , operating over 260 data centers across the globe. Digital leaders harness Equinixs trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.

Our culture is based on collaboration and the growth and development of our teams. We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

Job Summary

We 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.

Responsibilities

Provide 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 cases

Oversee the development and deployment of scalable ETL/ELT pipelines, data marts, and analytics models that meet enterprise data needs

Ensure effective use of the generic frameworks, tools, and platforms to build, test, and deploy data solutions efficiently

Partner closely with peers to align on capabilities, enhancements, and optimizations needed for ingestion, transformation, orchestration, and deployment frameworks

Drive a data product mindset, ensuring that data assets are well-architected, high quality, governed, and reusable across the organization

Foster collaboration with Data Product Management, AI/ML teams, and business stakeholders to prioritize and deliver high-impact data solutions

Build and scale a high-performing team through recruitment, coaching, and mentoring, promoting a culture of innovation, inclusion, and continuous learning

Proven experience in leading large, distributed teams , managing organizational change, and scaling engineering functions

Lead transformational initiatives to modernize data architecture, adopt emerging technologies, and evolve engineering practices

Cultivate a collaborative and transparent culture , breaking down silos and aligning cross-functional teams around shared goals

Define clear objectives, KPIs, and performance metrics for teams, and provide feedback to ensure accountability and growth

Focus on automation, efficiency, and quality, while meeting or exceeding delivery timelines

Ensure adherence to data governance, privacy, and security policies in all data engineering and analytics work

Represent Data Engineering and Analytics in cross-functional forums, advocating for best practices, innovation, and alignment with enterprise architecture

Qualifications

15+ years of experience in data engineering, analytics, and technology leadership roles, with demonstrated success in delivering enterprise data solutions

Strong software/data engineering background, having started as an individual contributor and grown into senior leadership roles

Proven experience in leading large, distributed teams , managing organizational change, and scaling engineering functions

Expertise in building ETL/ELT pipelines, data warehouses, data marts, and analytics products on top of cloud-native platforms (GCP, AWS, or Azure)

Experience 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 architectures

Experience in working with frameworks and automation tools provided by shared services teams

Proficiency in Agile methodologies, DevOps/CI-CD principles, and data governance best practices

Strong collaboration skills with the ability to partner across engineering, product, and business functions

Excellent communication and stakeholder management skills; ability to represent the function internally and externally

Bachelor s, Master s, or PhD degree in Computer Science, Engineering, or a related field

Preferred Qualifications

Experience 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 deployment

Knowledge of data mesh principles or federated data architectures

Experience with cost optimization and cloud resource management for data workloads.

Demonstrated ability to inspire and influence at all levels of the organization, from engineers to executives

What You Bring

Passion for building data engineering and analytics solutions that enable scalability, trust, and business impact

A transformational leadership style that motivates teams to embrace change, challenge the status quo, and deliver breakthrough results

A people-first mindset , with a strong focus on team development, empowerment, and well-being

A strategic vision for the future of data and analytics, coupled with the operational rigor to execute at scale

Equinix 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 this form .

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Director - Data Engineering & Analytics