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Driving Possibility

Director, Data Lake and Integration

DirectorDirectorFull TimeRemoteTeam 1,001-5,000Since 1972H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

144 days ago

Salary

$208.8K - $306.2K / year

Bachelor Degree10 yrs expEnglishCloudDistributed SystemsMicroservicesNo SQL

Job Description

• Provide technical and architectural leadership within the data engineering organization • Champion building out an enterprise data lake across the businesses • Formulate and implement data lake and integration strategy across the data space • Oversee the design and development of a scalable enterprise data lake that supports different use cases across the company • Lead the development and continuous evolution of scalable, robust, and business-aligned enterprise data lake and integration • Effectively communicate data lake success, strategies, roadmap, and progress to executive leadership and stakeholders • Develop insightful business and domain knowledge, translate data into actionable insights • Build a strong engineering organization and foster a solid engineering discipline • Collaborate with both the data team and cross engineering on technology and architecture strategy and decision • Document standards, best practices, and engineering artifacts so others can easily understand, build, and maintain best-in-class software systems • Lead continuous learning and process improvement activities to improve design and overall engineering practices

Job Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience
  • Minimum 10 years of software engineering experience or comparable depth of experience
  • Experience in the leadership role overseeing strategy and implementation of enterprise data lake and integration with demonstrated business success and impact
  • Expert knowledge of software engineering best practices with experience building an enterprise data lake with modern technology and architecture
  • Expert understanding and use of modern data technology end-to-end, including but not limited to source system, data integration, data acquisition, data ingestion, data transformation, data aggregation, data governance, business intelligence, data warehouse, data lake, NoSQL, object storage, streaming, etc.
  • Extensive experience with enterprise data modeling and integration with demonstrated success
  • Strong understanding of distributed systems, cloud computing, and microservices architectures
  • Demonstrated success in building a strong engineering organization and attract/recruit/grow/retain talent
  • Demonstrated success in building a mission-critical enterprise-class data solution that delivers business impact
  • Demonstrated ability to work with business partners, cross-functional team members, and coach and mentor experienced team members
  • In-depth experience with building an enterprise big data real-time production system that delivers business success
  • Experienced in communicating and articulating technology subjects in the context of business, and providing timely and clear communication
  • Well-versed in delivery mechanisms such as Agile

Benefits

  • Excellent benefits package that includes 401(K) match
  • Adoption assistance
  • Parental leave
  • Tuition reimbursement
  • Comprehensive medical/dental/vision
  • Many nonstandard benefits that make us a Great Place to Work

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