Job Title:
Databricks Architect [W2]

Company: Hire IT People, Inc

Location: philadelphia, PA

Created: 2024-04-20

Job Type: Full Time

Job Description:

Job Title: Databricks ArchitectLocation: Philadelphia, PA (Onsite)Start: ImmediateDuration: Long termPrimary Responsibilities:Utilize consulting and technical skills to be able to work in a client-facing project environment independently.Be responsible for your own execution and often others' on client projects, communicating directly with internal and external stakeholders on status updates and potential roadblocks.Collaborate with other team members to successfully deliver on projects.Work effectively and directly communicate with both internal and client andor partner teams.Develop full ownership of your execution on client engagements, play a role in the project planning and solution stages of engagements as well.Lead the end-to-end implementation of multiple ETLELT pipelines, demonstrating efficient data transformation.Mentor junior data engineers, and their growth is evident in their project contributionsSuccessfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead- may also play the role of an engagement lead.Contribute to real-time data processing solutions and managed streaming data.Implement security and compliance measures for data pipelines.Design and implement version control and branching strategies and integrate them into CICD for promoting and testing in higher environments.Our Ideal Candidate's Skills and Experiences:B.S. in Computer Science or equivalent4-6 years' experience in data engineering and big data. 2 years' of professional services experience interacting directly with clients.Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks **a mustDatabricks Solution Architect certification a plus.Data modeling and database design skills and knowledge of version controlExcellent verbal and written communication skillsExperience architecting scalable and fault-tolerant data solutions across Azure, AWS, and Databricks