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

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:

• Bachelorâ™s/Masterâ™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-Remote

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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.