Overview

　　The primary focus would be to lead data engineering activities for key projects. This would include development work within Azure Data Lake, Databricks, the Enterprise Data Warehouse (EDW) platform on Teradata, and other related ETL technologies, with the responsibility of ensuring on-time and on-budget delivery, Satisfying project requirements while adhering to enterprise architecture standards. The role will lead key projects and provide development/technical leadership to more junior resources. This is a hands-on position with a significant development component and the expectation for the ideal help is to lead the technical development and delivery of highly visible and strategic projects.

　　Responsibilities

　　• Lead development and delivery of key data and analytics projects within time and budget

　　• Drive solution design and build to ensure scalability, performance, and reuse

　　• Design robust data architectures taking into account performance, data quality, and data latency requirements

　　• Ability to recommend and drive consensus around preferred data integration approaches

　　• Ability to anticipate data bottlenecks (latency, quality, speed) and recommend appropriate remediation strategies

　　• Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards.

　　• Manage work intake, prioritization and release timing; balancing demand and available resources. Ensure tactical initiatives are aligned with the strategic vision and business needs

　　• Manage partnership with vendors

　　• Lead a team of employee and contract resources to meet data engineering requirements:

　　o Set priorities for the team to ensure task completion

　　o Coordinate work activities with other IT services and business teams.

　　o Hold team accountable for milestone deliverables

　　Qualifications

　　• Bachelor's degree in Computer Science, MIS, Business Management, or related field

　　• 10 + years' experience in Information Technology

　　• 8 + years' experience in Data Warehouse, Data Lake, and related technologies

　　• 5+ years experience with Azure, AWS, other cloud data capabilities

　　• Python, R, and related data processing/manipulation skills

　　• Experience with automating end to end data flows to ensure timeliness and accuracy of data

　　• Automated testing/scripting experience

　　• Experience with modern data engineering principles, pipeline engineering, etc.

　　• DevOps expertise to orchestrate robust end to end data flows

　　• Data modeling, harmonization experience required

　　• Data virtualization experience using Denodo or similar capability

　　• Advanced data modeling or database experience; experience with ER/Studio and/or Erwin modeling tools

　　• Experience with advanced data wrangling capabilities desired

　　• Thorough knowledge of data warehousing concepts and data catalog tools (Alation)

　　• Experience engineering and building high performance data pipelines from multiple transactional systems

　　• Excellent remote collaboration skills

　　• Experience working in a matrix organization with diverse priorities

　　• Experience dealing with and managing multiple vendors

　　• Solutions Delivery experience - expertise in system development lifecycle, integration, and sustainability

　　• Minimum 2-3 years' experience leading complex projects

　　• Proven experience in managing Data, BI or Analytics projects

　　• Exceptional written and verbal communication skills along with collaboration and listening skills

　　• Ability to work with agile delivery methodologies

　　• Ability to ideate requirements & design iteratively with business partners without formal requirements documentation

　　• Ability to budget resources and funding to meet project deliverables

　　• Strong project & resource management skills

　　• Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple global locations

　　• Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions

　　• Strong communication skills to meet with delivery teams and business-facing teams, understand sometimes ambiguous, needs, and translate to clear, aligned requirements

　　• Agro, Commercial or other functional domain expertise