One of our clients, a Global Market Research Company, is looking for talented Data Engineering Director
Permanent position with excellent compensation package and benefits.
Location: 100% Remote position (after Covid restrictions are lifted, will have option to commute to one of company's multiple locations in NY, NJ, TX, VA, NC, IL)
Sorry, no H1 Visa Support For This Role
Please read the description below and to be considered immediately email your resume to firstname.lastname@example.org
Data Engineering Director
Lead multiple teams of Data Engineers building the next generation of data models and systems for company’s product catalog and analytics platforms in the Azure Cloud.
Use Databricks to architect relational and graph data models and develop queries, transformations, and pipelines required for company’s internal and external clients to retrieve, analyze, predict, and report insights from their immense amount of data.
Make strategic decisions around data architecture, organizational shape, and personnel planning.
Provide strategic leadership for all data systems and teams in their domain, working as closely with stakeholders in product management, data science, data engineering, and analyst teams as they do with their own organization
Drive the development of highly scalable, secure, and flexible cloud-based data warehouses and models, supporting big data and business intelligence platforms.
Collaborate with stakeholders to develop, maintain, and evangelize data strategies.
12+ years of Data Engineering experience.
5+ years of Data Engineering people management and project management experience.
3+ years experience with big data in a cloud first environment, with Azure preferred.
Expertise in multiple databases technologies, such as relational (Microsoft SQL Server, Oracle, Postgres, MariaDB), Graph (Gremlin, sparql, shacl), big data (Databricks, Hadoop/HBase), and Search (Elastic, SOLAR).
Advanced data modeling skills.
Development experience with strong proficiency using Python, R or Scala, with Databricks preferred.
Strong Proficiency with data manipulation languages such as SQL, Sparql, Spark, DAX and SAS.
Advanced Experience with Azure PAAS cloud technologies at the enterprise level for data and analytics.
Ability to translate strategic objectives into action plans, ensuring team is focused on strategic priorities, as well as near-term operational priorities.
Excellent communication (verbal and written) and client service skills. Effective interpersonal, communication, and presentation skills applicable to a wide audience including senior/executive management, clients, and peers.
Capable of forecasting needs and ensuring effective and efficient management of time and resources.
BS Engineering/Computer Science or equivalent experience required; advanced degree preferred