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.

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

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.

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