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Lovelytics · 5 months ago

Principal Consultant, Data Engineer (Level 4)

Arlington, VA

Full-time

Onsite

Senior Level, Lead/Staff

4+ years exp

Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. They are seeking a Data Engineering Principal Consultant to lead client engagements related to data warehousing, ETL development, and data integrations, while also mentoring junior engineers and ensuring project success.

Artificial Intelligence (AI)Big DataCloud Data ServicesData IntegrationGenerative AIInformation ServicesMachine LearningPredictive AnalyticsTrainingWarehousing

No H1B

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 and/or 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

Successfully lead small Data Engineering projects and workstreams with measurable performance enhancements typically under the management of an engagement lead, or may play the part of the EL

Lead the end-to-end implementation of multiple ETL/ELT pipelines, demonstrating efficient data transformation

Mentor junior data engineers, and their growth is evident in their project contributions

Successfully 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 CI/CD for promoting and testing in higher environments

Qualification

DatabricksData engineeringETL/ELT pipelinesData warehousingAWSAzureData modelingVersion controlSecurity measuresCommunication skillsMentoring

Required

B.S. in Computer Science or equivalent

4-6 years' experience in data engineering and big data. At least 2 years' of professional services experience interacting directly with clients

Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks

Excellent verbal and written communication skills

Experience architecting scalable and fault-tolerant data solutions across Azure, AWS, and Databricks

Data modeling and database design skills and knowledge of version control