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 job
Client is seeking a hybrid Data Architect to be responsible for designing and implementing company wide data architecture, data pipelines, and data optimization practices to provide a reliable and maintainable data source for stakeholders across the organization.
Be successful in this role
Data Architecture: Develop and implement scalable data models and pipelines tailored for insurance data, leveraging Databricks Lakehouse architecture to enable real-time processing, advanced analytics, and seamless integration of diverse data sources.
Optimizing System Performance: Continuously identify and resolve bottlenecks in data processing systems to maintain optimal performance and reliability. Employ advanced optimization techniques to enhance speed, scalability, and efficiency while reducing resource usage.
Collaborating with Stakeholders: Partner with other leaders to align data architecture with organizational strategies, facilitating data-driven decision-making and deliver valuable insights.
Mentoring: Provide guidance and mentorship to the data engineering team, fostering best practices in data modeling, pipeline development, and system optimization to ensure robust and efficient data processes across the organization.
Qualifications
Bachelor's degree in Data Science, Data Engineering or related field.
5+ years of experience in Data Architecture and design, preferably in the Insurance industry.
Strong expertise in designing and implementing comprehensive data architecture strategies that encompass data modeling, integration pipelines, governance frameworks, and scalable infrastructure to support business objectives.
Skilled in developing Extract, Transform, Load (ETL) pipelines for seamless data integration.
Experience with Databricks, including designing and optimizing data workflows, managing Lakehouse architectures, and leveraging its platform for advanced analytics and machine learning solutions.
Strong command of SQL and Python for data manipulation and system development.
Comprehensive knowledge of data security, quality, and compliance standards
Hands-on experience with cloud technologies, a Git provider and CI/CD details.
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
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
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