Data Engineer Leader

* **Key Responsibilities** * Build and manage a team of talented data engineers with the ability to not only keep up with current business demand, but also pioneer, in this space. * Collaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements and facilitate the data integration process. * Bring new perspectives of data use that helps answering previously unanswerable and new questions. * Execute all aspects of analytics initiatives including exploratory data analysis, data preprocessing, model development, model deployment. * Communicate effectively to all levels of the organization, including executives. * Foster internal and external collaboration with teams of varying backgrounds, from the highly technical to the highly creative, to drive success. * Partner with business stakeholders to evaluate and approve implementation of tools and processes needed to aggressively drive data solutions and KPIs tracking for new and existing business cases. * Lead the buildup of customer 360 to develop a holistic view on customer interaction for better customer experience and product development. * Establish consistent, streamlined processes supporting priority use case enablement, coordinating across stakeholder groups. Requirements * Intellectually curious out\-of\-the\-box thinker who is passionate about brainstorming innovative ways to use data to solve business problems * Advanced Experience with emerging data technologies (Azure Platform, Azure Synapse, Databricks and Snowflake) * Strong analytics skills, good business sense to connect early\-stage company data to decision making * Strong Data Modeling and Data Governance Experience Required. * Highly proficient in MS Excel, SQL, SSIS, Databricks, and Snowflake, with hands\-on experience in various ETL tools and statistical software (Python, SAS, R, Stata, and related technologies.) * Proficient in both written and spoken English and Spanish at an advanced level. Experience * 10\+ years of progressive experience in data engineering, product development, and/or data governance. * Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or equivalent field. Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science preferred (graduate degree is a plus). * Strong interpersonal, negotiation and communication skills; ability to communicate effectively across the full spectrum of internal stakeholders and customers. * Experience in attracting, developing and mentoring diverse talent