Director Data Engineering- Greenfield Role- Revenue >$25 billion Segment Leader

The Impact

You will :

• 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

About you:

• 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).

Write to sanish@careerxperts.com to get connected !