Lead Consultant, Data Engineer

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.

• →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

• 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 

• 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