Company Description B360 is a renowned marketing and analytics consulting firm, providing solutions to top Fortune 500 and mid-sized companies. We are recognized as one of the fastest-growing companies in multiple years. Job Description The Senior Data Engineering Manager will lead major projects within BLEND360 and collaborate with our data engineering team to develop innovative data-driven solutions. These solutions will integrate distributed sources of data, perform large-scale learning and reasoning, and integrate results. As a Senior Data Engineering Manager, your role is to elevate the data engineering team to the next level by laying out the architecture of new projects and selecting the associated technology stack. You will plan out development cycles, deploying agile methodologies if possible, and create foundations for good data stewardship with our new data products. You will set up a solid code framework that is purpose-built yet flexible enough to adapt to new business use cases—a challenging but rewarding task. Responsibilities: - Collaborate with stakeholders to deeply understand the needs of data practitioners to deliver at scale. - Lead Data Engineers to define, build, and maintain Data Platforms. - Work on emerging technologies, building distributed applications. - Drive end-to-end development efforts for timely delivery of high-quality solutions that conform to requirements, architectural vision, and applicable standards. - Present technical solutions, capabilities, considerations, and features in business terms, effectively communicating status, issues, and risks in a precise and timely manner. - Further develop critical initiatives such as Data Discovery, Data Lineage, and Data Quality. - Lead and mentor junior resources. - Help team members grow in their role and achieve their career aspirations. - Build data systems, pipelines, analytical tools, and programs. - Conduct complex data analysis and report on results. Qualifications - 7+ Years of Experience - Degree in Computer Science, Data Science, Mathematics, IT, or similar field - 3-5 Years of Experience as a data engineer or similar role - Must have experience executing projects end-to-end - Technical expertise with data models, data mining, and segmentation techniques - Deep understanding of object-oriented libraries (Python, Scala) - Strong SQL skills and good understanding of existing SQL warehouses and relational databases - Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks - Ability to work independently and mentor junior resources - Desire to lead and develop a team of Data Engineers across multiple levels - Nice to have: Cloud experience (AWS, Azure, GCP), Snowflake, Databricks, Hadoop, DBT, Elastic Search, Data modeling, Airflow, CI/CD, Agile Methodologies, Docker/Kubernetes