Principal Consultant, Data Engineer (Level 4)

Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions.

Since partnering with Databricks in 2019, Lovelytics has experienced exponential growth, growing from 50 people to over 340 over the past 3 years.

Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services.

Lovelytics is seeking a Data Engineering Principal Consultant with extensive Databricks experience to join our team and help deliver strategic client engagements As a Principal, you will gain people management skills to develop to the next level.

In addition, you will play a key role, often as an engagement lead, on client engagements related to data warehousing, ETL development, data integrations, and data modeling.

This is a client-facing and stakeholder management 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 and Canada (Ontario) with preference for candidates in our HQ locations- DC Metro, Chicago Metro, Toronto Metro.

At this time, this role is not eligible for candidates requiring sponsorship in order to work in the US.

Primary 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.

Our Ideal Candidate's Skills and Experiences :

Data modeling and database design skills and knowledge of version control Excellent verbal and written communication skills Experience architecting scalable and fault-tolerant data solutions across Azure, AWS, and Databricks Understands and utilizes Lovelytics tools and client tools  Preference for candidates with Databricks Professional certifications What We Promise You :