Principal Consultant, Data Engineer (Level 4)

Lovelytics; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading consulting firm in Canada is looking for a Data Engineering Principal Consultant to enhance client engagements. This role involves managing data pipelines and mentoring junior engineers, with a strong focus on client interaction and technical execution using Databricks, AWS, and Azure. Applicants should have 4–6 years of data engineering experience and a relevant degree. This is an exciting opportunity to work remotely with diverse clients globally.

Benefits

Exciting projects with great clients

Opportunity for skill development

Collaborative and inclusive work environment

Qualifications

• 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 with hands-on Databricks experience.

Responsibilities

• Utilize consulting and technical skills in a client-facing project environment.
• Communicate directly with internal and external stakeholders.
• Lead small Data Engineering projects with measurable performance enhancements.
• Design and implement version control and CI/CD strategies.

Skills

Data engineering

Big data

Client interaction

Data warehousing

Communication skills

Data modeling

Version control

ETL/ELT pipelines

Azure

AWS

Education

B.S. in Computer Science or equivalent

Tools

Databricks

Lovelytics tools

Azure

AWS

Job description

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:

• 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 - a must
• Databricks Data Engineer Professional certification a plus.
• 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:

• 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

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.