Software Engineering Lead

Software Engineering Lead

Highlights:

Location: Glendale, AZ

Position Type: contract

Hourly Rate: $60-77/hr. based on experience

Residency Status: US Citizenship required

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. #LI-TN1

Key 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 & Experience Requirements:​Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.8 yea
• rs of experience in data engineering, with at least 3 years in a leadership role.Extens
• ive hands-on experience with Azure Data Lake, Databricks, and other Azure services.Proven
• expertise in architecting and implementing large-scale data solutions.US cit
• izenship is required for this position. Requi

r

ed Knowledge & Skills:​Techn

ical Sk

• ills:Proficiency in SQL.Deep underst
• anding of Azure security concepts, including subscription management, RBAC, and data encryption.Experience w
• ith 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 co
• mmunication and stakeholder management skills.Analytical m
• indset with a proactive approach to problem-solving.​Preferred Q

ualific

ations:Azure certificatio

ns, 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.