Lead Data Engineer

Mid / Senior

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In Office / Hybrid

Meytier Premier Employer

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You will lead the design, development, and implementation of our enterprise data warehouse and critical data integration pipelines, directly contributing to data-driven decision-making and innovation across Assetmark.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Lead design and development of AssetMark enterprise data warehouse, strategically applying both Data Vault and Kimball modeling techniques to meet diverse business needs.</li><li>Architect and implement scalable and reliable data integration pipelines, seamlessly ingesting both batch and real-time streaming data into our Data Vault.</li><li>Design and build optimized dimensional models (star schemas) derived from the Data Vault, empowering robust reporting and advanced analytics.</li><li>Leverage your strong proficiency in Python and Spark to develop efficient and scalable data processing workflows within the Azure ecosystem.</li><li>Own the complete lifecycle of data product delivery derived from requirements to design a successful implementation, deployment, and ongoing maintenance for the data product</li><li>Collaborate effectively with business analysts, data scientists, and other stakeholders to deeply understand data requirements and translate them into robust technical designs.</li><li>Provide technical leadership, mentorship, and guidance to fellow data engineers, fostering a culture of excellence, knowledge sharing, and continuous improvement.</li><li>Champion and enforce data quality, data governance, and data security standards throughout the entire data development lifecycle.</li><li>Proactively identify, evaluate, and implement automation tools and frameworks to optimize and streamline data engineering processes.</li><li>Stay at the forefront of data technology advancements, actively participating in the evaluation and adoption of new tools and methodologies.</li></ul><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in computer science, Engineering, or a related technical field.</li><li>5+ years of progressive experience in data warehousing and data integration.</li><li>Ability to work independently, take initiative, and collaborate effectively within a team environment. 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