Lead Consultant, Data Engineer

Role Description

This Lead Consultant will play a key role in delivering on client engagements related to data warehousing, ETL development, 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.

• Utilize consulting and technical skills to work independently in a client-facing project environment.
• 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, becoming involved in the project planning and solution stages.
• 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.

Qualifications

• B.S. in Computer Science or equivalent.
• 3+ 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.
• 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.

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.
• The base salary range for this position for candidates based in the US is $112,999-151,000 per year.
• Compensation is determined based on a variety of factors including, but not limited to, relevant experience, skills, qualifications, scope of role and budget.
• Candidates are not guaranteed to be placed at any particular point within the range, and most offers will fall within the middle of the range or below.
• Lovelytics is committed to pay equity and transparency in compensation practices.

Company Description

Lovelytics has helped some of the most complex enterprises across industries such as Energy & Utilities, Media & Entertainment, Manufacturing and Retail & CPG, modernize their data and put AI to work, not in a deck, but in production. Our work spans the full data and AI lifecycle: Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization — all delivered on Databricks, with deep partnerships across AWS, Azure, and GCP. To date, we've delivered over $2B in business value for Fortune 500 clients. In the last year, Lovelytics has grown from 85 to 500+ people across the Americas, all while keeping the technically excellent, low-ego culture that makes the work worth doing, earning us a Best Places to Work recognition and a spot among Databricks' top partners.