Databricks Technical Lead - Level 3

RESPONSIBILITIES:
Kforce has a client in Cincinnati, OH that is seeking a Databricks Technical Lead - Level 3.

Summary:
We are seeking a seasoned Databricks Technical Lead to join our HR Systems Engineering team. This role is pivotal in enhancing the experience of over 420,000 associates by leading the design, build, and optimization of our data platform, services, APIs, and cloud migrations. As a product-centric role within an Agile delivery framework, the Databricks Technical Lead will ensure our data solutions align with business objectives and deliver tangible value. Join us in an organization recognized as one of the best places to work in IT for seven consecutive years.

Core Responsibilities:
* Develop and maintain the HR data domain in a secure, compliant, and efficient manner in accordance with best practices
* Lead the development of a data engineering team responsible for designing scalable, high performance data solutions, APIs, and microservices in Azure Databricks, Azure SQL and Informatica
* Ensure the highest levels of security and privacy regarding sensitive data
* Design and implement scalable data pipelines and architectures on Azure Databricks
* Optimize ETL/ELT workflows, ensuring efficiency in data processing, storage, and retrieval
* Leverage Apache Spark, Delta Lake, and Azure-native services to build high-performance data solutions
* Ensure best practices in data governance, security, and compliance within Azure environments
* Troubleshoot and fine-tune Spark jobs for optimal performance and cost efficiency

REQUIREMENTS:
* 10+ years of experience in data engineering, big data, or API development, with at least 3+ years in a leadership role
* Proven experience leading product-centric data engineering initiatives in an agile delivery environment
* Experience in building and managing APIs (REST, GraphQL, gRPC) and microservices
* Experience with containerization (Docker, Kubernetes) and event-driven architecture is a plus
* Experience with data security and compliance measures (e.g., encryption, access control, auditing) for sensitive HR and employee data
* Hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, and Delta Lake
* Expertise in Azure Databricks, Apache Spark, Azure SQL, and other Microsoft Azure services
* Strong programming skills in Python, Scala, and SQL for data processing and API development
* Strong problem-solving skills, with a focus on performance tuning, security, and cost optimization
* Excellent communication and leadership skills in a fast-paced environment
* Proficiency in CI/CD pipelines, Terraform/Bicep, and Infrastructure-as-Code
* Exposure to Informatica for ETL/ELT and data integration
* This is a contract-to-hire position, and candidates must be prepared to transition to a full-time employee role

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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