Job Duties and Responsibilities
Oversee and direct efforts to identify information and technology solutions that enable business needs and strategies.
Own and define DevOps pipelines and release management for data engineering
Apply business knowledge and experience to effectively advise others on technology as an enabler.
Lead efforts to analyze IT industry and market trends and determine potential impacts.
Develop concepts and constructs necessary to create technology-enabled business systems.
Influence technology direction and provide thought leadership and execution to large complex efforts.
Utilize breadth of technical understanding and dive deep when necessary.
Consult on and manage initiatives to ensure alignment across multiple business and IT areas.
Proactively mitigate risks across multiple assets, information domains, technologies and platforms.
Provide leadership, mentoring and technical guidance to others to drive initiatives.
Facilitate communications that involve obtaining cooperation and agreement on issues that may be complex or controversial.
Utilize negotiation and persuasion to come to agreement and to effectively form partnerships.
Act as a change agent to continuously improve and move the organization forward.
Accountable to successfully deliver the right results on initiatives in a timely and effective manner.
Direct the work of others to lead initiatives that cross multiple assets, technologies, platforms, departments and vendors.
Ability to work within a diverse team of skillsets and experience levels to deliver results.
Required Job Qualifications:
Bachelor’s degree or equivalent experience in MIS, Computer Science, Mathematics, Business, or related field.
3+ years of experience in data engineering or equivalent experience.
Implement and configure data platforms including but not limited to Hadoop, Spark, Scala, Kafka and batch integration is preferred.
Working Experience developing data processes with Java, Python, R or other scripting languages preferred.
Cloud experience is preferred.
Expert knowledge of predictive analytics, statistical modeling, advanced mathematics, data integration concepts, business intelligence and data warehousing and implementing large systems.
Thrivent provides Equal Employment Opportunity (EEO) without regard to race, religion, color, sex , gender identity, sexual orientation, pregnancy, national origin, age, disability, marital status, citizenship status, military or veteran status, genetic information, or any other status protected by applicable local, state , or federal law. This policy applies to all employees and job applicants.
Thrivent is committed to providing reasonable accommodation to individuals with disabilities. If you need a reasonable accommodation , please let us know by sending an email to email@example.com or call 800-847-4836 and request Human Resources.