Title - Lead Data Engineer
Location: Glendale, AZ
Duration: 12 Months

Job Summary:
We are seeking an experienced and highly skilled Software Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. The ideal candidate will possess deep architectural knowledge of Azure Data Lake and Databricks, a solid understanding of security concepts within Azure, and a proven track record of leading teams in delivering scalable and secure data solutions.

Major Responsibilities:

• Architectural Design and Implementation:
  • Design and implement robust, scalable, and efficient data architectures leveraging Azure Data Lake and Databricks.
  • Define and enforce best practices for data ingestion, storage, processing, and retrieval.
  • Optimize data workflows to ensure high performance and cost efficiency.
• Data Governance and Security:
  • Develop and implement security measures for Azure Data Lake, ensuring compliance with organizational and regulatory standards.
  • Manage role-based access control (RBAC), encryption, and other security protocols within Azure Subscriptions.
  • Collaborate with security teams to perform regular audits and vulnerability assessments.
• Team Leadership and Collaboration:
  • Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.
  • Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams, to deliver data-driven solutions.
  • Drive agile practices and ensure timely delivery of projects.
• Platform Optimization and Monitoring:
  • Oversee the deployment and management of Azure Data Lake and Databricks environments.
  • Implement monitoring and alerting systems to ensure system reliability and performance.
  • Evaluate and incorporate new Azure services and technologies to enhance the data platform.
• Strategic Planning and Roadmap Development:
  • Develop and execute a roadmap for data engineering aligned with business objectives.
  • Stay abreast of industry trends and advancements in data engineering and Azure technologies.
  • Provide recommendations for long-term data strategy, including data lakehouse adoption and cloud optimization.

Education and Experience Requirements:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 8+ years of experience in data engineering, with at least 3 years in a leadership role.
• Extensive hands-on experience with Azure Data Lake, Databricks, and other Azure services.
• Proven expertise in architecting and implementing large-scale data solutions.

Technical Skills:

• Proficiency in SQL.
• Deep understanding of Azure security concepts, including subscription management, RBAC, and data encryption.
• Experience with data modeling, ETL pipelines, and big data technologies.
• Familiarity with CI/CD pipelines and DevOps practices in a data engineering context.

Soft Skills:

• Strong leadership and team management abilities.
• Excellent communication and stakeholder management skills.
• Analytical mindset with a proactive approach to problem-solving.

Preferred Qualifications:

• Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert.
• Experience with implementing data lakehouse architectures.
• Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 70.00/hr.