Dice is the leading career destination for tech experts at every stage of their careers. Our client, NexGen Tech Solutions, is seeking the following. Apply via Dice today! Position: Lead Data Engineer Location: Encino, CA (Hybrid) Experience: 12+ Years Job Type: Full Time/ C2C Must Have: Data Vault, Microsoft Azure, Data Vault, wealth management or financial services industry. Responsibilities: As a Lead Data Engineer, you will play a pivotal role in designing and managing company's modern data infrastructure. You will help shape and execute the data strategy that enables trusted, scalable, and high-performing solutions across the organization. Your work will directly support company's mission to deliver data-driven wealth management services through innovation, governance, and collaboration. Key Responsibilities • Define, document, and manage enterprise data strategy, including schema design, SLAs, data contracts, security, and compliance. • Promote best practices in data architecture and engineering, particularly within the wealth management and financial services sectors. • Lead and grow a high-impact data engineering team, focusing on platform performance, CI/CD, and operational excellence. • Own the roadmap for continuous improvements, including Azure/Microsoft Fabric modernization, compliance, and cost optimization initiatives. • Ensure platform reliability through automated testing for performance, security, and scalability. • Collaborate with analytics, business, and technology teams to align on architecture, governance, and delivery timelines. • Manage and optimize ingestion, transformation, and curation of large-scale structured and unstructured data. • Develop reusable data components and pipelines for enterprise reporting, BI, and advanced analytics. • Implement DataOps practices, including metadata management, monitoring, alerting, and data quality frameworks. • Advocate for scalable modeling approaches such as semantic layer design and Data Vault 2.0 methodology. Required Skills & Expertise • Strong leadership, communication, and collaboration skills across cross-functional teams. • Proven experience with Microsoft Azure data tools: Azure Synapse, Data Lake, Data Factory, and Microsoft Fabric. • Successful track record delivering data engineering solutions in the wealth management or financial services industries. • Deep understanding of modern architectural frameworks: Lakehouse, Data Mesh, Data Fabric, and ELT/ETL orchestration. • Ability to deliver data products supporting Finance, Product, Sales, and Marketing domains. • Hands-on expertise in data modeling, data cataloging, lineage tracking, and data governance. • Skilled in CI/CD, Agile development practices, and working in enterprise-scale cloud environments. • Experience with Data Vault 2.0 modeling preferred. • Familiarity with domain-specific platforms like Salesforce and Yardi is a plus. Preferred Qualifications • Strong architectural knowledge of Microsoft Fabric and the Azure-native analytics ecosystem. • Microsoft Azure Certification or equivalent cloud credentials. • Exposure to AI/ML frameworks and their application to business problems is a plus. • Strong presentation skills to communicate data-driven insights to stakeholders at all levels. Education & Experience • 12+ years of IT experience, with a focus on data engineering, systems design, or data architecture. • 5+ years in a data architect or lead data engineering role with progressive responsibilities. • Bachelor s degree in Computer Science, Information Systems, or a related field (Master s preferred).