Manager, Data Engineering
CubeSmart
This is a hybrid role - 3 days remote and 2 days in the Malvern, PA office.
CubeSmart is currently seeking a Manager of Data Engineering to join the Information Technology team at our corporate office in Malvern, PA. The Manager of Data Engineering will be responsible for cultivating the Data Engineering practice at Cubesmart as we build a new foundational data platform at Cubesmart. This team will design and build the data products for this platform to enable critical business operations, new pricing strategies, innovations in data science, and other data consumers to adopt the platform.
Who we are:
At CubeSmart, we’re intentional about culture. You can experience it everywhere from our mission statement of “genuine care” to our “It’s What’s Inside That Counts” tagline to calling each other “teammates” rather than employees. This spirit fosters a fun and collaborative environment that has resulted in our rapid growth and being recognized amongst the top in our industry.
CubeSmart’s award-winning team is made up of people who genuinely care. Teammates care about our customers and the life events and/or business needs they are facing. Teammates are passionate, responsible and understanding. The CubeSmart team is made up of people who have a can-do attitude, are committed to their own success and the success of the company, and lead by example.
If this sounds like a team and culture that matches your personal values and motivations, we want to hear from you.
Responsibilities
This role will also be responsible for work planning and prioritization, stakeholder engagement, defining data engineering standards, partnering with our business to drive adoption and foster learning with our business partners, and continually growing and motivating the data engineering team. Hands on data engineering skills in a cloud platform are essential as this role will be contributing technically, while also performing design and code reviews to ensure that engineering standards are adopted and followed by the team. You will also be working and partnering with any 3rd party vendors we engage to help with the design and development of the cloud data platform at Cubesmart.
Responsibilities
- Lead the data engineering practice to development of a modern cloud data platform that will be a key component to reimagining how Cubesmart leverages data for a competitive advantage
- Manage a team of data engineering professionals by leading agile planning, prioritizing work, developing automated test methodologies, and generally ensuring the team delivers quality work
- Collaborate with IT Services to continually ensure the team is meeting business priorities in all projects
- Collaborate with IT Services to ensure that security in cloud services is governed and managed as well as to collaborate in the management of cloud expenses
- Work with all of our vendor partners to ensure that we are attuned to innovations in products and services
- Build a culture of engineering excellence in the team with a focus on performance, scalability, reliability, privacy, and security
Qualifications
Qualifications
- A love of people management, data engineering, and building quality data products
- Bachelor’s degree in Computer Science, Information Technology or a related discipline
- 5+ years of experience in building, leading, and managing data engineering teams in Big Data/Hadoop or Cloud technology stacks
- Strong hands-on skills in SQL, Python, and PySpark
- Experience in guiding and leading teams following agile delivery principles
- Engaging leader who creates a climate where others feel energy and are motivated to learn and grow in their role
- Collaborative leader who creates open channels of communications and encourages constructive dialogue
- Excellent, transparent, and persuasive communication and presentation skills with the ability to distill complex information for non-technical audiences
- Service oriented leader who possesses a 24x7 support and service mentality
- Experience with Microsoft Azure data services (Azure Data Factory, Databricks, AzureSQL, and Databricks ML Flow) is preferred
- Solid understanding of cloud DevOps capabilities, preferably Azure DevOps
Additional Preferred Qualifications:
- Masters Degree
- Experience and understanding of the Machine Learning lifecycle
- Experience with building CI/CD pipelines for cloud based data products and services
- 401K
- 401k with company contribution
- Commitment to Work/Life Harmony
- Paid Holidays
- Paid Sick Days
- PTO
- Dental Insurance
- FSA
- Health Insurance
- HSA
- Life Insurance
- Long Term Disability
- Onsite Gym
- Employee Recognition Programs
- Tuition Reimbursement
- Hybrid Work Options
- On Site Gym/Fitness
- Parental Leave
