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Director Data Engineering

4 weeks ago

Hyderabad, Telangana, India Randstad Enterprise Full time

About the Job

The Director Data Engineering will lead the development and implementation of a comprehensive data strategy that aligns with the organization's business goals and enables data driven decision making.

Roles and Responsibilitie s

  • Build and manage a team of talented data managers and engineers with the ability to not only keep up with, but also pioneer, in this space
  • Collaborate with and influence leadership to directly impact company strategy and direction
  • Develop new techniques and data pipelines that will enable various insights for internal and external customers
  • Develop deep partnerships with client implementation teams, engineering and product teams to deliver on major cross-functional measurements and testing
  • Communicate effectively to all levels of the organization, including executives
  • Provide success in partnering teams with dramatically varying backgrounds, from the highly technical to the highly creative
  • Design a data engineering roadmap and execute the vision behind it
  • Hire, lead, and mentor a world-class data team
  • Partner with other business areas to co-author and co-drive strategies on our shared roadmap
  • Oversee the movement of large amounts of data into our data lake
  • Establish a customer-centric approach and synthesize customer needs
  • Own end-to-end pipelines and destinations for the transfer and storage of all data
  • Manage 3rd-party resources and critical data integration vendors
  • Promote a culture that drives autonomy, responsibility, perfection and mastery.
  • Maintain and optimize software and cloud expenses to meet financial goals of the company
  • Provide technical leadership to the team in design and architecture of data products and drive change across process, practices, and technology within the organization
  • Work with engineering managers and functional leads to set direction and ambitious goals for the Engineering department
  • Ensure data quality, security, and accessibility across the organization

Skills You Will Need

  • 10+ years of experience in data engineering
  • 5+ years of experience leading data teams of 30+ resources or more, including selection of talent planning / allocating resources across multiple geographies and functions.
  • 5+ years of experience with GCP tools and technologies, specifically, Google BigQuery, Google cloud composer, Dataflow, Dataform, etc.
  • Experience creating large-scale data engineering pipelines, data-based decision-making and quantitative analysis tools and software
  • Experience with hands-on to code version control systems (git)
  • Experience with CICD, data architectures, pipelines, quality, and code management
  • Experience with complex, high volume, multi-dimensional data, based on unstructured, structured, and streaming datasets
  • Experience with SQL and NoSQL databases
  • Experience creating, testing, and supporting production software and systems
  • Proven track record of identifying and resolving performance bottlenecks for production systems
  • Experience designing and developing data lake, data warehouse, ETL and task orchestrating systems
  • Strong leadership, communication, time management and interpersonal skills
  • Proven architectural skills in data engineering
  • Experience leading teams developing production-grade data pipelines on large datasets
  • Experience designing a large data lake and lake house experience, managing data flows that integrate information from various sources into a common pool implementing data pipelines based on the ETL model
  • Experience with common data languages (e.g. Python, Scala) and data warehouses (e.g. Redshift, BigQuery, Snowflake, Databricks)
  • Extensive experience on cloud tools and technologies - GCP preferred
  • Experience managing real-time data pipelines
  • Successful track record and demonstrated thought-leadership and cross-functional influence and partnership within an agile / water-fall development environment.
  • Experience in regulated industries or with compliance frameworks (e.g., SOC 2, ISO 27001).

Nice to have:

  • HR services industry experience
  • Experience in data science, including predictive modeling
  • Experience leading teams across multiple geographies