Search the 5 jobs at Lovelytics LLC

The Senior Manager will lead strategic Databricks and Machine Learning client engagements, define project scopes, manage teams, and ensure successful project delivery. They will oversee the performance and growth of consultants while troubleshooting complex data issues and establishing governance frameworks.

The Senior Manager will oversee client engagements on the Data & AI team, defining project scopes and managing plans while leading a team of consultants. Responsibilities include developing technical solutions, fostering collaboration, establishing data governance, managing budgets, and troubleshooting data issues.

The Tech Lead, Data Engineer will lead data engineering projects, ensuring effective execution of ETL/ELT pipelines, mentorship of junior engineers, and collaboration with internal and external stakeholders. Responsibilities include designing data solutions, maintaining performance, and implementing security measures.

The Principal Data Engineer will lead technical engagements and architecture initiatives by designing and optimizing data pipelines, creating scalable data lakes and warehouses, and implementing data governance best practices. This role requires collaboration with stakeholders to develop data solutions while managing projects effectively within budget and timelines.

Lead Consultant will deliver client engagements focusing on data warehousing, ETL development, and data integrations using Databricks, AWS, and Azure. The role involves collaborating with clients, developing pipelines, and implementing data security and compliance measures.