University of Maryland Global Campus-posted 3 months ago
$191,000 - $216,000/Yr
Full-time • Senior
Adelphi, MD

The Director, Data Lakehouse is a critical leadership role responsible for shaping and driving enterprise data strategy through the design, implementation, and oversight of its data and analytics platform. This role leads the implementation and operation of the Data Lakehouse layers (i.e., Bronze, Silver, Gold) of a new Enterprise Data & Analytics Platform in Databricks. The main focus is to ensure that the organization’s data assets are findable, securely accessible, interoperable, reusable, and reliable, as well as optimized for analytics & AI in support of decision-making and operational excellence. This leader will align data management best practices with business priorities, enabling the institution to leverage data as a strategic asset while fostering a culture of innovation and collaboration. The role will help shape the organization’s data culture, and balance high-level strategic planning with hands-on involvement in projects, operations, and technical implementations. The role reports to the AVP Enterprise Data. The Director will build, lead, coach, and mentor a team of data engineers and architects while collaborating with business and technical stakeholders to ensure the platform aligns with organizational goals and supports a wide range of use cases, including ML/AI, and operational data stores.

  • Assist with development and execute the Enterprise Data & Analytics Strategy, ensuring execution and development supports the organization’s overall data and business goals.
  • Lead the design, implementation, and operation of a scalable, secure, and high-performance enterprise data Lakehouse in Databricks that ingests and curates data from various internal and external data sources and delivers certified data in service of an evolving portfolio of data products and services.
  • Define and enforce best practices for data Lakehouse architecture, governance, data quality, and lifecycle management.
  • Build, lead, coach, and mentor a team of data engineers, architects, and analysts focused on the data Lakehouse platform.
  • Foster a culture of collaboration, innovation, and continuous learning within the team.
  • Provide coaching, career development, and performance management to ensure the team’s success.
  • Design and oversee ELT and ETL processes on LakeFlow for the ingestion, integration, and interoperability of structured, semi-structured, and unstructured data across data Lakehouse layers.
  • Implement and enforce data governance policies to ensure high-quality, secure, and compliant data usage across the lake house.
  • Work with legal and compliance teams to ensure data security, privacy, and regulatory requirements are met.
  • Work closely with data scientists, business analysts, and other stakeholders to ensure the Lakehouse supports both batch and real-time analytics needs.
  • Engage with cross-functional teams to understand their current and emerging data needs and ensure the data Lakehouse platform capabilities are in alignment.
  • Stay informed about emerging technologies, trends, and best practices in data management, cloud computing, and big data and lead continuous improvement.
  • Develop and manage the approved budget for the data Lakehouse team and platform, ensuring efficient resource allocation.
  • Bachelor's Degree in Information science and technology, Library and Information Science, Computer Science or a related field.
  • 7+ years of experience implementing and operating Databricks data lakehouses.
  • 5+ years of experience leading data lakehouse teams.
  • Demonstrated integrity, energy, the ability to energize others, and to execute and deliver on goals and objectives.
  • Advanced communication skills for engaging technical and non-technical stakeholders.
  • Proven record of leading large-scale data and analytics platform initiatives in complex federated organizations.
  • Strong analytical skills with a data-driven approach to decision-making and problem-solving.
  • Master's Degree in Information science and technology, Library and Information Science, Computer Science or a related field.
  • Databricks certifications are extremely desirable.
  • Knowledge of educational research and on-line higher education.
  • Experience with modern diverse technology stacks and integration of AI/BI technologies.
  • 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 15 paid holidays.
  • Access to health care, medical with vision, dental, and prescription plans for both individuals and families.
  • Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance.
  • Flexible Spending Accounts for medical and dependent care expenses.
  • Retirement Plans including 401(k), 403(b), 457(b), and various Roth options.
  • Immediate availability for Regular Exempt Staff tuition remission.
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