Manager Data Engineering

RESPONSIBILITIES:
Kforce has a client that is seeking a Manager Data Engineering in Miami, FL (Florida).

Responsibilities:
* Data Warehousing and Legacy System Management: Lead the development and maintenance of data warehousing solutions; Manage legacy integrations and data application enhancements
* Team Leadership: Direct and mentor a team of data developers and engineers; Ensure team alignment with project goals and company objectives
* Lead architecture decisions and able to manage vendor partners
* Work with Product Owners, DevOps and Prioritize activities and manage delivery through Agile methodologies
* Provide transparency through reporting on backlog, data quality metrics, and platform health
* Project Execution: Manage the execution of data engineering projects ensuring they meet defined objectives; Collaborate with cross-functional teams for integrated project delivery
* Technical Guidance: Provide technical expertise in data warehousing technologies and legacy systems; Stay updated on industry trends to guide the team effectively
* Stakeholder Engagement: Work closely with the Senior Manager and other stakeholders to align data engineering efforts with business needs; Communicate project progress and challenges effectively
* Quality Assurance: Ensure adherence to best practices in data governance and security. Maintain high standards of quality in data engineering outputs
* Perform other job-related functions as assigned

REQUIREMENTS:
* Bachelor's degree in Business Management, Computer Science, Industrial Engineering, or related
* Minimum of 7 years of experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions
* 2 years of experience managing team
* Experience in data engineering with a focus on data warehousing and legacy systems
* Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell
* Experience with Agile methods & tools like JIRA
* Experience leading and coaching team members
* Experience/exposure with Snowflake, dbt, Matillion and any ELT/ETL tools

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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