Lead Software Engineer

First Point Group; Glendale (AZ); On-site; Full time

Job summary

A leading company in Oil & Gas is seeking a Software Engineering Lead in Glendale, AZ, to drive its data platform strategy focusing on Azure Data Lake and Databricks. The ideal candidate will have extensive experience in data engineering leadership, guiding teams to deliver secure and scalable data solutions while ensuring compliance with data governance practices. This position offers a competitive pay rate and the chance to work on innovative projects in a rapidly evolving industry.

Qualifications

• 8+ years in data engineering, including 3+ years in a leadership capacity.
• Proven experience with Azure Data Lake and large-scale data architecture.
• Strong team leadership and mentoring skills.

Responsibilities

• Design and build scalable data platforms using Azure Data Lake and Databricks.
• Implement security frameworks and manage RBAC in Azure environments.
• Define and execute long-term data engineering strategy aligned with goals.

Skills

Data Architecture

SQL

Cloud Security

ETL Pipelines

DevOps Best Practices

Education

Bachelor's or Master's in Computer Science, IT, or related discipline

Tools

Azure

Databricks

Job description

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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

$60.00/hr - $75.00/hr

Great new opportunity for a Software Engineer Lead in Glendale, AZ for our major Oil & Gas / Energy client.

Job Title: Software Engineering Lead

Location: Glendale, AZ

Duration: 12 months (potential contract to perm)

Pay Rate Range: $60-$75/hr

Position Overview

Looking for a seasoned Software Engineering Lead to drive the company's data platform strategy, with a strong emphasis on Azure Data Lake and its surrounding ecosystem. This leadership role requires deep technical expertise in data architecture, hands-on experience with Azure and Databricks, and a solid grasp of cloud security principles. The ideal candidate will have a history of leading high-performing engineering teams and delivering secure, scalable data solutions.

Key Responsibilities

• Design and build scalable, efficient data platforms using Azure Data Lake and Databricks.
• Establish and uphold best practices for data ingestion, processing, storage, and access.
• Optimize data pipelines for performance and cost-effectiveness.

Data Security & Governance

• Implement robust security frameworks aligned with organizational and regulatory requirements.
• Manage RBAC, encryption, and other critical security protocols across Azure environments.
• Partner with security teams to conduct audits and ensure platform integrity.
• Lead, mentor, and grow a team of data engineers, fostering a culture of innovation and accountability.
• Collaborate with data scientists, analysts, and IT teams to deliver business-aligned data solutions.
• Promote agile methodologies and oversee timely project delivery.

Platform Optimization

• Oversee deployment, management, and performance monitoring of Azure Data Lake and Databricks.
• Establish alerting systems to maintain high availability and operational stability.
• Continuously evaluate emerging Azure services to enhance the platform's capabilities.

Strategic Direction

• Define and execute a long-term roadmap for data engineering aligned with enterprise goals.
• Stay current on trends in data architecture, cloud technologies, and governance practices.
• Advise on future-state architectures, including lakehouse models and cloud cost optimization.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, IT, or related discipline.
• 8+ years in data engineering, including 3+ years in a leadership capacity.
• Proven experience with Azure Data Lake, Databricks, and large-scale data architecture.
• US Citizenship is mandatory for this role.

Core Competencies

Technical

• Advanced proficiency in SQL and data modeling.
• Deep knowledge of Azure security concepts (RBAC, encryption, subscription management).
• Experience building and managing ETL pipelines and working with big data technologies.
• Familiarity with CI/CD and DevOps best practices in data environments.

Leadership & Communication

• Strong team leadership, mentoring, and interpersonal skills.
• Effective communicator with both technical and non-technical stakeholders.
• Strategic thinker with a problem-solving mindset.

Preferred Qualifications

• Azure certifications (e.g., Azure Data Engineer Associate, Solutions Architect Expert).
• Experience designing and implementing data lakehouse architectures.
• Understanding of compliance frameworks (GDPR, CCPA, HIPAA).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  Oil and Gas, Services for Renewable Energy, and Energy Technology

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