Software Engineering Lead Highlights:
Location: Glendale AZ
Position Type: contract
Hourly Rate: 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.
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 rolebased 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 crossfunctional teams including data scientists business analysts and IT teams to deliver datadriven 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 longterm 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 years of experience in data engineering with at least 3 years in a leadership role.
- Extensive handson experience with Azure Data Lake Databricks and other Azure services.
- Proven expertise in architecting and implementing largescale data solutions.
- US citizenship is required for this position.
Required Knowledge & 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 problemsolving.
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.
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