Data Engineering Excellence - Associate Director (Open To Remote)

Want to build a stronger, more sustainable future and cultivate your career? Join Cargill's global team of 160,000 employees who use new technologies, dynamic insights and over 157 years of experience to connect farmers with markets, customers with ingredients, and people and animals with the food they need to thrive.
Job Purpose and Impact
The Data Engineering Excellence - Associate Director will lead a team of Data Engineering professionals in the execution of design, build and operation of high-performance data centric products or solutions with modern engineering practices and technologies in the assigned region. In this role, you will collaborate with multiregional teams and the greater engineering management community to build an effective and authentic engineering culture and to maximize the effectiveness of the engineering capabilities. You will also provide leadership to drive the local maturity and help to evolve Data Engineering as a capability in the company. This person will collaborate with engineering teams throughout Cargill establishing standards and best practices promoting consistent use of processes and technology to enable Data Engineering patterns. Key Accountabilities
Develop strategic partnerships with local leaders and key stakeholders to help understand business expectations, and priorities on Data Engineering products and solutions.
Provide broad oversight and advise supervisors on Data Engineering delivery, testing, and operations to support the strategic direction of the business.
Lead a local team to perform the advanced and varied Data Engineering solutions utilizing modern platforms and technologies.
Provide broad oversight and guidance for activities which include analysis of business requirements and preparation of detailed technical specifications to support the strategic direction of the business.
Champion high level direction and support strategy development and technical planning of system or application technology aligned with internal and external software compliance standards.
You will develop plans and deliver results in a fast-changing business and/or regulatory environment while leading and developing a team of experienced professionals and supervisors, exhibiting authority for talent management decisions related to hiring, performance and disciplinary actions. You will also coordinate subordinate managers and supervisors in selecting staff to align with current and future needs of the organization.
Define engineering frameworks and standards while promoting awareness and adoption driving towards consistent and modern architecture approaches
Other duties as assigned Qualifications
MINIMUM QUALIFICATIONS
Bachelor’s degree in a related field or equivalent experience
Minimum of six years of related work experience
PREFERRED QUALIFICATIONS
Comfortable working in a global enterprise setting managing multiple stakeholder requirements and priorities
Passionate for all things data and understand the art of possible in realizing unprecedented business value
Excited for being a change agent; bring forward new standards and practices ensuring quality, performance, and scale to the Data Engineering community at large
Deep experience with codifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to accelerate engineering of robust data pipelines
Deep experience with log capturing and alerting and monitoring strategies leveraging technologies such as Datadog, PagerDuty, ServiceNow, or Logstash
Proficient in configuring/administering CI/CD pipelines leveraging anyone of the following technologies, GitHub, GetLab, Jenkins, AzureDevOps, AWS CodeDeploy, or Nexus
Proficient with git and enterprise branching strategies
Proficient with authoring custom pipeline tasks for AWS CodePipeline or GitHub Actions
Proficient with workload scheduling and orchestration leveraging Airflow, AWS Step Functions
Proficient with Data Engineering approaches leveraging Java, Spark, SQL, and Scala
Deep understanding of Data Engineering best practices related to architecture patterns supporting varying data types, volume, and velocity
Experience with code quality and security tools such as SonarQube, Checkmarx, or Fortify
Experience with data storage, processing, and warehousing technologies such as Hadoop, S3, or Snowflake
Ability to engage senior business leaders and translate between the needs of the business and the demands of / capacities of technology
Technical background in computer science, software engineering, database systems, and distributed systems
Direct experience having built and deployed robust, complex production frameworks supporting data and analytic engineering at scale
Minimum of four years of supervising software/ Data Engineering development teams
Confirmed Data Engineering experience including technologies of big data, machine learning, or data streaming
Confirmed knowledge of best practice patterns and how to apply them to data architectures and solutions
Confirmed experience with full stack engineering including application development or application programming interface engineering
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Compensation
The expected salary for this position is $157 - 175K. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.
Benefits
Full-Time (30+ hours) positions are eligible for a benefit package including the following (subject to certain collective bargaining agreements for Union positions): Paid time off; paid holidays; medical, vision, and dental coverage; flexible spending accounts; life insurance; disability insurance; retirement savings; employee and family assistance program (EAP)
Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
Equal Opportunity Employer, including Disability/Vet.