Director - Engineering(Data Platforms)

7 days ago

Bengaluru, India Myntra Full time

Who are we?

Myntra is India's leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we've always believed in disrupting the ordinary.

We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We're bold in our thinking, agile in our execution, and collaborative in spirit.

Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in.

We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newer and better forms and we look for people who are ready to evolve with us.

From our humble beginnings as a customization company in 2007 to being technology and fashion pioneers today, Myntra is going places and we want you to take part in this journey with us.

Working at Myntra is challenging but fun - we are a young and dynamic team, firm believers in meritocracy, believe in equal opportunity, encourage intellectual curiosity and empower our teams with the right tools, space, and opportunities.

About Role:

The Director of Data Platforms at Myntra will spearhead the development and expansion of the company's robust data infrastructure. This encompasses overseeing Data Platforms, A/B Testing frameworks etc. This role will involve building and leading high-performing data teams within a dynamic and fast-paced environment. Ultimately, this role will drive data-driven growth and operational excellence across the organization

Key Responsibilities:

  • Strategy & Leadership: Define and implement data platform strategy. Oversee architecture (pipelines, lakes, warehouses). Foster a data-driven culture. Collaborate with Engineering, ML, and Insights teams.
  • A/B Testing: Lead A/B testing strategy and platform development. Ensure data integrity and accuracy in experimentation. Optimize workflows for agility and impact.
  • Cross-Functional Collaboration: Collaborate with Engineering, Product, Marketing, and Operations teams. Engage key stakeholders. Drive data governance, quality, and compliance.
  • Team Leadership: Lead high-performing data engineering teams. Set and monitor OKRs & KPIs. Deliver high-impact, reliable data solutions.
  • Operational Excellence: Ensure platform reliability, monitoring, and alerting. Optimize platform performance, latency, and scalability. Drive cost optimization.
  • Innovation: Stay ahead of industry trends and emerging technologies. Lead Proof of Concepts (POCs) for new technologies.

Requisites:

  • Bachelor's/Master's in Computer Science, Engineering, or related field.
  • 15+ years of experience in data engineering/infrastructure management, with 5+ years in senior leadership managing a large team

  • Experience in a high-scale e-commerce or tech-driven company preferred

  • Strong knowledge of cloud platforms (AWS, GCP, Azure). Knowledge of Databricks and Delta Lakes. Expertise in building and managing data platforms. Proficient in big data processing frameworks (Hadoop, Spark). Deep understanding of data governance, security, and compliance.

  • Proven experience leading cross-functional teams. Ability to define and execute data strategies.

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