Director - Data Engineering (10-20 yrs)

The Impact

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

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).