Senior DataBricks Engineer

About the Opportunity

Nomiso is seeking a skilled Senior DataBricks Engineer to join our team supporting our client. This role will work closely with our client's data engineering and cross-functional teams in a highly collaborative, agile environment. The successful candidate will design elegant technical solutions for complex product requirements, deliver high-quality code, and take ownership of the stability and quality of the data domain.

Location Requirement: Onsite - Scottsdale, AZ at client's office

Responsibilities

• Collaborate with data engineering and cross-functional teams to build and deliver custom enterprise data warehousing and database solutions.
• Accurately estimate tasks, bugs, and spikes within your domain.
• Develop software that meets established code-quality standards and metrics.
• Build productive internal and external working relationships.
• Effectively manage risk, change, and uncertainty with support from project leadership and peers.
• Build a strong understanding of inter-team functional data dependencies and use appropriate communication channels to resolve issues.
• Design and implement new features while continuously improving the quality of technical data products and database applications.
• Serve as a technical expert and engineer on an agile squad.
• Help create and execute the long-term vision for technical data products and database applications.
• Drive architectural solutions across data warehousing and transactional databases.
• Develop and lead communities of practice by mentoring engineers, creating and enforcing standards, reviewing code, and sharing technical knowledge and best practices.
• Remain current on new cloud data solutions, design patterns, products, and development trends.
• Assist with problem resolution for customers and end users.
• Perform other duties as assigned in support of the engagement.

Skills and Experience

• Expert knowledge of data engineering, database solution design, and data-modeling principles.
• 5+ years of experience in data engineering and database technologies.
• Experience developing reusable, common-component data artifacts.
• Experience with data engineering and cloud products.
• Experience with multiple data-engineering methodologies and data-warehousing models.
• Experience with data governance and security best practices.
• Experience with data accessibility best practices.
• Strong problem-solving and collaboration skills.
• Excellent verbal and written communication skills.
• Strong team player with the ability to coach and mentor others.
• Bachelor's degree in Computer Science, Information Systems, or a comparable field.

Required Technology Experience

• Strong experience with SQL, Python, and enterprise data warehousing.
• Proficiency with Azure or similar cloud technologies, including Data Factory, Data Lake, and Function App.
• Experience building ELT (Extract, Load, Transform) solutions.
• Experience with SQL Server, Spark, Azure Synapse, Kafka, or similar technologies.
• Proficiency writing SQL queries and Python notebooks.

Preferred Experience

• Knowledge of one or more modern database data models, design approaches, and reporting/data frameworks representative of ELT, ETL, or similar architectures.
• GitHub Enterprise or similar source-control platforms.
• Additional cloud data-engineering technologies such as Snowflake, Databricks, or Microsoft Fabric.

Physical Demands & Work Environment

The physical demands and work environment described here are representative of those required to successfully perform the essential functions of this engagement. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this role, the individual is regularly required to sit, stand, and walk. Specific vision abilities include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. The noise level in the work environment is usually moderate.