- Define and implement the Data Strategy for Client X
- Driving implementation of data solutions, optimizing traditional RDBMS solutions, and developing modern cloud-based data architectures
- Work with Information Security to secure the data footprint and help develop a secure data strategy
- Oversee applications and integrations on large-scale data platforms (custom web applications running on Postgres and MS SQL, enterprise applications including SAP & NetSuite, data warehouses & data lakes, large-scale file storage) for reliability and scalability
- Supervise and maintain the shared services that redesign the data processing pipelines and our data warehouse
- Develop a cross functional Disaster Recovery and a Business Continuity Plan for the Client X data footprint
- Engage with internal business stakeholders of all levels across the business, consult with them, and provide guidance for delivering and turning data into actionable information
- Build a data engineering team to scale these efforts across the company
- Bachelor's Degree in Computer Science, Information Technology, or related field - advanced degree or professional certifications a plus
- 10+ years experience; or equivalent combination of post-bachelor's education and experience
- Proven experience as a data engineering lead and/or management role
- Motivated self-starter who can manage and prioritize multiple projects simultaneously with a positive, can-do attitude.
- Strong data analysis and problem-solving skills with a willingness to roll up one's sleeves to get the job done.
- Ability to build and maintain strong relationships with business users, software developers, other cross-functional co-workers, and outside partners.
- Proficiency in SQL is required; python and java is preferred
- Ability to translate between technical and non-technical stakeholders
- Experience with hybrid (cloud/on-premise) data topologies is a must
- Experience designing data lake and data warehouse architectures, preferably using modern cloud solutions
- Hands-on experience implementing data transformation (ETL/ELT, etc.) best practices at scale, preferably using modern cloud solutions
- Have a deep understanding of SQL and database architecture
- Experience with both open source and off the shelf technologies
- Exceptional English communication skills, both written and verbal. This includes listening skills and an open attitude toward constructive feedback.
- Ability to work both with a global team and individually
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