Þputy Director, Data Fabric Development

Overview Design and implement data processing pipelines using Databricks, Spark, Python, and other tools and languages prevalent in the Azure ecosystem ensuring high quality solutions through code reviews, engineering best practices documentation. You will be given the opportunity to own the design/implementation of projects. You will collaborate with product managers, solution architects, engineers, and data scientists to accomplish your tasks Responsibilities Lead delivery of key Enterprise Data Warehouse and Azure Data Lake projects within time and budget Drive solution design and build to ensure scalability, performance and reuse of data and other components Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards. Oversee coordination and partnerships with Business Relationship Managers, Architecture and IT services teams to develop and maintain EDW and data lake best practices and standards along with appropriate quality assurance policies and procedures May lead a team of employee and contract resources to meet build requirements: Set priorities for the team to ensure task completion Coordinate work activities with other IT services and business teams. Hold team accountable for milestone deliverables Qualifications Years of Experience Bachelor’s degree in Computer Science, MIS, Business Management, or related field 14 + years’ experience in Information Technology or Business Relationship Management 8 + years’ experience in Data Warehouse/Azure Data Lake; 2+ years of big data experience Minimum 4 years’ experience as project lead Mandatory Technical Skills Solutions Delivery experience in Data, BI or Analytics projects - expertise in system development lifecycle, integration, and sustainability Strong programming experience, Java/Python/Scala/SQL Experience working with Big Data processing frameworks within Azure (BLOB/ADLS, Databricks/Spark, Azure Data Factory, etc.) Experience working with Data Warehousing platforms and projects (experience with star schemas, slowing changing dimensions, etc.) – Teradata experience a plus Experience working with Big Data streaming services and tools such as Kafka, Spark Streaming, etc. Thorough knowledge of data warehousing and data lake concepts Mandatory Non-Technical Skills Excellent remote collaboration skills Experience working in a matrix organization with diverse priorities Experience dealing with and managing multiple vendors Exceptional written and verbal communication skills along with collaboration and listening skills Ability to work with agile delivery methodologies Ability to ideate requirements & design iteratively with business partners without formal requirements documentation Ability to budget resources and funding to meet project deliverables Differentiating Competencies Excellent problem-solving and interpersonal skills Strong communication skills to meet with delivery teams and business-facing teams, understand sometimes ambiguous, needs, and translate to clear, aligned requirements Strong desire to learn and share knowledge with others Desire to work collaboratively with your teammates to come up with the best solution to a problem Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple global locations Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions