*responsibilities*- reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.- provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.- drives innovation and integration of new technologies into projects and activities in the big data space.- collaborates and communicates with project team regarding project progress and issue resolution.- represents the data engineering team for all phases of larger and more-complex development projects.- assists in the coaching and training of business analytics solution users to enhance business decision-making capability.- ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.- builds and manages relationships throughout the organization.- provides guidance and mentoring to less experienced staff members.
*education and experience required*- four-year or graduate degree in computer science, information technology, software engineering, statistics/ mathematics, or any other related discipline or commensurate work experience or demonstrated competence.- typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
*preferred certifications*- programming language/s certification (sql, python, or similar)*knowledge & skills*- agile methodology- amazon web services- apache spark- big data- computer science- data analysis- data engineering- data modeling- data pipelines- data warehousing- extract transform load (etl)- machine learning- python (programming language)- scalability- sql (programming language)*cross-org skills*- effective communication- results orientation- learning agility- digital fluency- customer centricity*impact & scope*- impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
*complexity*- works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.