Senior Associate, Data Engineer - Databricks

Overview In this role you will design, build and implement large-scale data solutions on Databricks to support multiple use cases, while shaping data architectures for cloud modernization. You will work within a collaborative Advisory team to translate business needs into technical solutions and deliver impactful insights through visualizations and reports. You’ll lead a small workstream, engage clients, and articulate the value of cloud-enabled data platforms. This is a chance to grow your expertise in a globally connected firm with strong development opportunities. Compensation / Benefitscomprehensive benefits packagemedical and dental plansvision coveragedisability and life insurance401(k) planswell-being benefits ResponsibilitiesAssist with design and development activities for large-scale Databricks data solutions (delta lake, reporting, analytics, AI/ML)Lead a small workstream and manage implementation for client projectsSupport design and development of technology and data architectures supporting cloud data warehouse migrationsCapture and translate business and technical requirements; lead hypothesis-driven consulting and project managementTranslate analytics problems into actionable technical approaches and educate stakeholders via visualizations and presentationsDemonstrate strong Databricks ecosystem knowledge and communicate cloud modernization value to diverse stakeholders Key requirementsMinimum three years of experience in cloud data lake/warehouse roles (architect, designer, developer, data scientist, or AI/ML engineer)Bachelor’s degree in Engineering, Information Technology, Computer Science or related fieldExperience leading cloud modernization projects and data migrations; cloud platforms experience (Databricks)Hands-on knowledge of data security, ELT, data wrangling, cloud computing; proficiency in data integration/EAI and DB technologies; SQL and Apache SparkPreferred Databricks certificationStrong verbal/written communication and ability to interact with stakeholders across levelsEligibility to work in the United States without sponsorship; willing to travelstrong communication and stakeholder managementability to prioritize, delegate and foster teamworkanalytical mindset and attention to detailDatabricks ecosystemcloud data platforms (AWS, Azure, GCP)SQL