Data Engineer Lead at Navtechusa

I have an opportunity for Data Engineer Lead Glendale AZ - HYBRID and I am looking for a candidate who can join Immediately if you are interested reply to me with your updated resume or if you could refer someone I would really appreciate it. Position : Data Engineering Lead Location: Glendale AZ - Hybrid/Onsite Duration : 6 TO 12 Months Contract Visa : USC Please note that this role requires leadership experience Azure Data Lake expertise and Business Objects knowledge. Your resume should reflect actual working experience with these technologies as the candidate will need to answer detailed technical questions during the interview process. 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: Bachelors or Masters 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. -- Regards Alex . K NAVTECH INC P : E : 1600 Golf Road. Suite 1200 Rolling Meadows IL 60008 E-Verified Company. Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full Time Experience: years Vacancy: 1