Software Engineering Lead – Glendale, AZ (Contract)

Overview

JAB Recruitment is actively seeking a Software Engineering Lead to support one of our prestigious international energy clients at their Glendale, AZ location. This is an exciting opportunity to work with a world-class team in a fast-paced, professional environment.

The Software Engineering Lead is to spearhead 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. Leadership experience is a must.

PLEASE NOTE:

- This is a contract position - estimated 12 months

- This role is limited to U.S. citizens in accordance with client specifications

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.

Minimum 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.

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.

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 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.

JAB Recruitment is an equal opportunity employer. Qualified applicants are considered for positions without regard to race, color, religion, sex, national origin, age, citizenship status, marital status, medical condition, physical or mental disability or any other legally protected status. EOE/M/F/D/V

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