Data Architect

Job Title: ( Data Architect )

About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Job Description

About the position

• The Data Engineering Manager is a pivotal technical leader responsible for overseeing and managing the data engineering team at Wellabe Services Co. This role is crucial in guiding the team to make significant technical decisions that lead to the development of production-grade data products, which include data infrastructure, data pipelines, and data architecture. The manager will ensure that the highest standards of data quality and performance are maintained while developing robust technical roadmaps that align with the strategic objectives of the organization. Additionally, this position will prioritize and organize the team's workload to ensure optimal efficiency and productivity. In this role, the Data Engineering Manager will also focus on fostering career growth within the team by providing mentorship opportunities and empowering team members to thrive professionally. The manager will build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development. They will provide deep technical guidance and support the team in driving large projects that involve complex dependencies and multiple stakeholders. The manager will oversee the development and maintenance of high-performance data infrastructure and architecture, utilizing tools such as Databricks, Azure, Azure Data Factory, and other industry-leading tools. They will collaborate in technical and architectural discussions, provide direction, research and recommend frameworks, and drive decision-making processes. Furthermore, the manager will ensure that processes such as unit testing, establishing SLAs, ensuring data quality checks, and performing code reviews are effectively implemented. Collaboration with various stakeholders is essential, as the manager will gather deep domain expertise and own the delivery of projects across multiple streams. They will also provide a low-friction path for the productization of AI/ML data science projects, demonstrating proficiency and up-to-date knowledge in languages, data platforms, cloud services, and emerging technologies in data engineering and analytics. This role may also involve performing other related duties as necessary or assigned.

Responsibilities

• Build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development.
• Provide deep technical guidance and support the team in driving large projects within complex dependencies and multiple stakeholders.
• Oversee the development and maintenance of high-performance data infrastructure and architecture utilizing tools such as Databricks, Azure, Azure Data Factory, and other industry-leading tools.
• Collaborate in technical/architectural discussions, provide direction, research and recommend frameworks, and drive decision-making.
• Oversee the processes of unit testing, establishing SLAs, ensuring data quality checks, and performing code reviews.
• Collaborate closely with technical leads to develop long-term visions and innovative strategies for data utilization.
• Collaborate with various stakeholders, gather deep domain expertise, and own delivery of projects across multiple streams.
• Provide a low-friction path for the productization of AI/ML data science projects.
• Demonstrate proficiency and up-to-date knowledge in languages, data platforms, cloud services, and emerging technologies in data engineering and analytics.

Requirements

• Bachelor's degree in computer science, business/data analytics, management information systems, information technology or related field.
• 5 years applied experience with data engineering technologies and processes.
• 5 years of experience implementing data architectures, dimensional models, ETL, workload scheduling and orchestration framework.
• 3 years of hands-on experience in managing Spark clusters such as Databricks, including managing and optimizing utilization of Databricks clusters, Autoloader, DLT Pipelines, Unity Catalog.
• Experience leading teams of technologists.
• Practical cloud native experience.
• Formal training or certification on data engineering concepts, preferred.
• Experience developing Azure Data Factory pipelines, preferred.
• Experience in modernizing legacy data systems, preferred.

Nice-to-haves

• Exposure to Power BI consumption or related tools

Location : ( Des Moines, IA )

Disclaimer:
Kyyba is an Equal Opportunity Employer.
Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.
It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665

Rewards:
Medical, dental, vision
401k
Term life
Voluntary life and disability insurance
Optional Pre-paid legal plan
Optional Identity theft plan
Optional Medical and dependent FSA
Work-visa sponsorship
Opportunity for advancement
Long-term assignment with opportunity for hire by client

SELECT AWARDS

• An INC 5000 company for 10 years
• Corp! Michigan Economic Bright Spots
• Crain's Detroit Business Top Staffing Service Companies in Detroit
• TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions
• Best of MichBusiness winner in HR Wizards & Partnerships
• Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest
• 101 Best & Brightest Companies to Work for in Michigan