Director of Data Engineering
Job Description
Director of Data Engineering
- Direct Hire role
The Director of Data Engineering is responsible for managing strategic projects and driving efficiencies across the data engineering team. The candidate should possess a strategic mindset, sound business acumen, and a deep understanding of DataOps, MLOps, and other data-related areas to elevate data-driven culture across the organization. Strong leadership and communication skills with the ability to influence and drive data strategy are essential. A leader with a collaborative, customer-facing attitude will thrive in this role, frequently interfacing with the Data Governance, Analytics, and Data Science teams.
Key Responsibilities:
- Direct Hire role
The Director of Data Engineering is responsible for managing strategic projects and driving efficiencies across the data engineering team. The candidate should possess a strategic mindset, sound business acumen, and a deep understanding of DataOps, MLOps, and other data-related areas to elevate data-driven culture across the organization. Strong leadership and communication skills with the ability to influence and drive data strategy are essential. A leader with a collaborative, customer-facing attitude will thrive in this role, frequently interfacing with the Data Governance, Analytics, and Data Science teams.
Key Responsibilities:
- Provide strategic technology leadership and champion architectural design patterns and practices to grow the existing Enterprise Data Platform.
- Guide, collaborate with, and train various Analytics teams (data consumers) to optimize existing design patterns and advance Data as a Product to serve business users with one version of truth.
- Lead the development and implementation of data engineering standards and best practices across the organization.
- Implement and promote best practices in Data Observability, DataOps and MLOps to ensure efficient and scalable execution of data pipelines in production environment.
- Manage and oversee strategic projects, ensuring alignment with business goals and objectives.
- Collaborate with cross-functional teams, including marketing, IT, and customer service, to drive data-driven decision-making and innovation.
- Provide guidance and mentorship to data engineers, fostering a culture of continuous learning and improvement.
- Stay current with industry trends and advancements in data engineering, DataOps, and MLOps to drive innovation and maintain a competitive edge
- Bachelor’s/ Master’s degree from an accredited college or university preferred in Computer Science, Computer Engineering, or a related field.
- 10+ years of experience in data engineering, with a focus on data architecture, strategic project management and implementation of best practices.
- Strong business acumen, ideally with existing working knowledge of Real Estate and/or Property Management.
- Proven experience in leading and managing data engineering teams.
- Strong product management capabilities to set priorities, align with department strategy, and drive execution and accountability.
- Knowledge of data governance practices and technology related to the management of enterprise information assets.
- Excellent communication, presentation, and interpersonal skills.
- Ability to break down complex problems and projects into manageable goals.
- Data Engineering Skills: Proficiency in SQL, PySpark, Python and Databricks platform.
- Data Modeling and Analytics: Proficiency in data modeling, analytics, and business intelligence.
- Data Observability: Strong understanding and hands-on experience with DataOps, MLOps, Data Quality, and other areas of Data Observability practices to ensure efficient and scalable data operation processes.
- Data Governance: Strong understanding of data governance practices and technology related to the management of enterprise information assets.
- DevOps: Experience with DevOps practices, including code management and data quality. Working knowledge of Agile software development methodologies.
- Data Visualization: Skills in PowerBI or similar tool for data visualization and business storytelling with data.
Meet Your Recruiter
Perry Gross
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