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Manager, Data Engineering

LocationNorth America
Published27th July
Job Type
Job TypePermanent
ConsultantDuncan Kennedy

PropTech Manager, Data Engineering role based Remotely in the US

About the Role

The Manager of Data Engineering will be accountable for the day-to-day management of their Data Engineering team. This team is responsible for the maintenance of existing and creation of new integrations to business systems. This individual will need to be knowledgeable and experienced in modern ETL practices as well as the latest related Azure technologies.

  • Drive the design, building, and launching of new data models and data pipelines in production.
  • Manage the development of data resources and support new product launches.
  • Define and manage SLA’s for all data sets and processes running in production.
  • Experience scaling and managing 3+ person teams.
  • Build cross-functional relationships with Data Scientists, Product Managers, User Experience Researchers and Software Engineers to understand data needs and deliver on those needs.
  • Function as product owner for all integrations and the data lake
  • This brief summary is not an all-inclusive description of job duties. Other job duties and responsibilities may also be assigned by the incumbent’s manager at any time based upon Company need.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Working Conditions
  • Primarily working indoors, office environment.
  • Prolonged exposure to computer screens.
  • Must be able to work evenings and weekend hours and be available for on call status.
  • May sit for several hours at a time.
Required Education and Experience
  • 7+ years of data integration experience
  • 3+ years of experience scaling and managing 3+ person teams.
  • Strong understanding of: SQL Server, Azure Data Factory, SSIS, GitHub, Azure Logic Apps, Azure Functions, REST API’s, SSIS
  • Experience in a DevOps environment (Git, Azure Devops)
  • Communication and leadership experience, with experience initiating and driving projects.
  • Define and evolve the enterprise data architecture and best practices in areas such as standards, processes, methodologies, applications, data modeling, etc.
  • Define and maintain architecture standards and guidelines
  • Project management experience.
Preferred Education and Experience
  • Atlassian tools (Jira, Confluence, etc.)
  • Must have worked within a multi-disciplined, cross-functional technical organization
  • Strong oral and written interpersonal skills with the proven ability to influence and achieve alignment across a range of different opinions and interests.
  • Deep Azure knowledge
  • Azure Synapse or Snowflake
Required Knowledge
  • Administration and Management — Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources.
  • Computers and Electronics — Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
  • Engineering and Technology — Knowledge of the practical application of engineering science and technology. This includes applying principles, techniques, procedures, and equipment to the design and production of various goods and services.
Required Skills
  • Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems.
  • Reading Comprehension — Understanding written sentences and paragraphs in work-related documents.
  • Active Listening — Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
  • Systems Evaluation — Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
  • Complex Problem Solving — Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
  • Systems Analysis — Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
  • Writing — Communicating effectively in writing as appropriate for the needs of the audience.
  • Active Learning — Understanding the implications of new information for both current and future problem-solving and decision-making.

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