Software Engineering Lead

Description:

Job Title - Software Engineering Lead


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


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.

• US citizenship is required for this position.


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.


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.