Lead Consultant, Data Engineer

Lovelytics•Arlington, VA

24d•$125,000 - $150,000•Remote

About The Position

Lovelytics is seeking a Lead Consultant, Data Engineer to play a key role in delivering on client engagements related to data warehousing, ETL development, SAP, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to partner technologies such as Databricks, AWS, and Azure. The ideal candidate will have strong technical capabilities, a passion for data, and a desire to work in a collaborative, dynamic, and inclusive environment. This role is open to remote candidates in the US and is not open for work sponsorship at this time.

Requirements

B.S. in Computer Science or equivalent
3-5 years' experience in data engineering and big data.
At least 2 years working directly with clients and external stakeholders.
Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks A must
Data modeling and database design skills and knowledge of version control
Excellent verbal and written communication skills
Is able to apply technical skills to engagement needs
Works with engagement leads and directors to gain exposure in the design and architecture of solutions
Understands and utilizes Lovelytics tools and client tools

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 sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead.
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, you'll become involved in the project planning and solution stages of engagements as well.
Design and implement complex ETL/ELT pipelines with evidence of improved data processing times.
Successfully lead small data warehousing projects with measurable performance enhancements under the management 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.