Principal Consultant, Data Engineer

LovelyticsArlington, VA
$150,000 - $170,000Remote

About The Position

Since 2017, Lovelytics has helped some of the most complex enterprises in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services actually modernize their data and put AI to work — not in a deck, but in production. We move fast, stay close to the cutting edge, and care more about outcomes than optics. We're the first consulting firm backed by Databricks Ventures — which tells you something about how seriously we take the technology we build on. Alongside Interlock Equity, that backing has helped us grow from 50 to 500+ people in three years, while keeping the technical depth and low-ego culture that makes the work worth doing. This Lead Consultant will 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 our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data. This role is open to remote candidates in the US. This role 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
  • SAP S/4HANA or SAP HANA
  • 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.
  • Hands on experience working with SAP data at the table level
  • Strong understanding of SAP data structures and relationships, beyond ETL tooling
  • Ability to interpret SAP data in the context of underlying business processes

Benefits

  • Exciting projects with great clients in varying departments and verticals across the world
  • The ability to work closely with experienced data engineers and quickly grow and expand your skillset
  • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
  • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
  • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better
  • Remote Roles
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