Lead Data Engineer

In this senior role, you will lead and be accountable for the end-end data architecture solutions under the data development teams' scope. Partnering closely with other developers and stakeholders worldwide, you will be responsible for transforming business opportunities into comprehensive, integrated solutions that would deliver differentiating capabilities.What You’ll Do for Us:Architectural accountability for all critical data solutions within the scope of the development organization.Partner strategically with Data, Technology, and Business Services Leads across TCCC to guide technology direction, short/long term roadmaps, and holistic value over the portfolio.Technical recommendations for clients based on our global platforms and best data architecture practices, including performance, security advice, and costs.Ensure that the architectural design is in the implementation of the solutions, including high-level code review and data quality.Guiding migration and upgrades in data products by collaborating with Platform Architects.Mentoring candidates for data architecture roles.Qualifications and Requirements:BA/BS required. BA/BS in Information Technology, computer science, mathematics, statistics, or related field.3+ years of experience in Data Lake platform implementation, including hands-on implementation and performance tuning.Experience ingesting data from different sources and/or ETL development experience.Hands-on experience with Big Data tools such as Apache Spark, and Azure Synapse Analytics.Experience in implementing data solutions over clouds. (Preferred Azure)SQL/NoSQL databases and Data Warehousing solutions.Competence in at least two programming languages of these: Python, Java, Scala, R.Understanding and building data pipelines and being aware of the different technologies for designing, constructing, integrating, and monitoring (DataOps).Understands logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage & data profiling.Experience leading and working with external resources (onshore and offshore).Expertise in communicating an architectural vision, conceptual, logical, and physical architectures to different stakeholders, including business, data analysts, advanced analytics people, and technical people such as data engineers.Team player with high emotional intelligence able to multi-task in a dynamic franchise model.Self-starter, self-confident, and assured in personal abilities.Additional Skills (Preferred):Any Master’s related to Science, Technology, and Data.Consulting experience.Experience in implementing real-time streaming data architectures.Understanding basic Data Science and Machine Learning concepts and integrating ML model output into the data pipeline.Data engineer and Data Architect certifications (from DASCA or any similar).Cloud certifications (preferred Azure).Agile certifications.What We Can Do for You:Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.Agile Work Environment: We embrace agile with management that believes in removing barriers, so you are empowered to experiment, iterate and innovate.Skills:Python (Programming Language); Influencing; Microsoft Azure; Communication; Data Analytics; Apache Synapse; Problem Solving; Data Integration; Tableau (Software); Big Data; Microsoft Power Business Intelligence (BI).We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve.We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

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