Software Engineering Lead

Software Engineering Lead - Glendale, AZ

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This range is provided by First Point Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$65.00/yr - $75.00/yr

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Delivering an unparalleled recruiting experience to customers and candidates in the IT and Telecom sectors for more than 20 years! Qualifications & Requirements

• 8+ years' experience in data engineering, with at least 3 years in a leadership role.
• Must have leadership experience.
• Azure Data Lake expertise.
• Business Objects Knowledge with actual experience.
• Recent experience and ability to answer detailed questions regarding required experience.
• Preferred:
  Azure certifications (Data Engineer Associate or Solutions Architect Expert).
• Experience with implementing data lakehouse architectures.
• Familiarity with data governance frameworks like GDPR, CCPA, or HIPAA.

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.

Required Knowledge and Skills 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 Dev Ops 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.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industries

Telecommunications

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