Senior Director, Data Engineering
Remote South Carolina, Remote South Carolina, SC, United States
Greystar
At Greystar, we offer apartments in desirable locations near shopping, dining, and workplaces. Browse through our wide selection of apartments for rent and find your dream home today.ABOUT GREYSTAR
Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing, logistics, and life sciences sectors. Headquartered in Charleston, South Carolina, Greystar manages and operates more than $315 billion of real estate in 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages more than 1,000,000 units/beds globally, and has a robust institutional investment management platform comprised of more than $78 billion of assets under management, including over $36 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com.
JOB DESCRIPTION SUMMARY
The Sr 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.JOB DESCRIPTION
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
BASIC KNOWLEDGE & QUALIFICATIONS:
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.
SPECIALIZED SKILLS:
- 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.
#LI-BB1
Additional Compensation:
Many factors go into determining employee pay within the posted range including business requirements, prior experience, current skills and geographical location.
Corporate Positions: In addition to the base salary, this role may be eligible to participate in a quarterly or annual bonus program based on individual and company performance.
Onsite Property Positions: In addition to the base salary, this role may be eligible to participate in weekly, monthly, and/or quarterly bonus programs.
Robust Benefits Offered*:
Competitive Medical, Dental, Vision, and Disability & Life insurance benefits. Low (free basic) employee Medical costs for employee-only coverage; costs discounted after 3 and 5 years of service.
Generous Paid Time off. All new hires start with 15 days of vacation, 4 personal days, 10 sick days, and 11 paid holidays. Plus your birthday off after 1 year of service! Additional vacation accrued with tenure.
For onsite team members, onsite housing discount at Greystar-managed communities are available subject to discount and unit availability.
6-Week Paid Sabbatical after 10 years of service (and every 5 years thereafter).
401(k) with Company Match up to 6% of pay after 6 months of service.
Paid Parental Leave and lifetime Fertility Benefit reimbursement up to $10,000 (includes adoption or surrogacy).
Employee Assistance Program.
Critical Illness, Accident, Hospital Indemnity, Pet Insurance and Legal Plans.
Charitable giving program and benefits.
*Benefits offered for full-time employees. For Union and Prevailing Wage roles, compensation and benefits may vary from the listed information above due to Collective Bargaining Agreements and/or local governing authority.
Greystar will consider for employment qualified applicants with arrest and conviction records.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Business Intelligence Computer Science Databricks Data governance DataOps Data pipelines Data quality Data strategy Data visualization DevOps Engineering MLOps Pipelines Power BI PySpark Python SQL
Perks/benefits: 401(k) matching Career development Competitive pay Fertility benefits Flex vacation Health care Insurance Medical leave Paid sabbatical Parental leave Salary bonus Startup environment
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.