As an Engineering Manager in the Data Engineering & Advanced Analytics team at our company, you will be responsible for leading a team of data and software engineers. Your expertise will be crucial in building, testing, and maintaining scalable data pipelines and advanced analytics solutions. Your strong technical foundation in big data technologies, data modeling, and software engineering, coupled with your proven leadership skills, will drive the delivery of end-to-end data solutions that have a significant business impact. **Key Responsibilities:**
Take full ownership of designing, developing, and maintaining large-scale data pipelines and systems. - Lead and mentor a team of engineers to deliver high-quality, production-ready solutions. - Collaborate with cross-functional teams to support strategic programs, operational initiatives, and new product development. - Ensure solutions align with API-First and Service-Oriented Architecture (SOA) principles. - Provide thought leadership and expert consultation to senior management on data strategy and innovation. - Oversee the creation of architecture diagrams, design documentation, and project planning artifacts. - Ensure data quality, governance, and compliance across all engineering initiatives. **Qualifications Required:**
Bachelors degree in Computer Science, Information Systems, Engineering, or a related quantitative field. - 12+ years of experience in data engineering, analytics, or related fields. - Proven experience in building and managing large-scale data pipelines using tools like SQL, PySpark, Flink, and Apache Spark. - Strong command of data modeling concepts, architecture design, and project planning. - Experience with AZURE and modern data stack tools. - Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders. - Demonstrated leadership in multi-functional project teams and consulting environments. If you join us, you will work on impactful projects that shape the future of data-driven decision-making. You will collaborate with top-tier talent in a fast-paced, innovation-focused environment and have the opportunity to influence data strategy and architecture at an enterprise level. As an Engineering Manager in the Data Engineering & Advanced Analytics team at our company, you will be responsible for leading a team of data and software engineers. Your expertise will be crucial in building, testing, and maintaining scalable data pipelines and advanced analytics solutions. Your strong technical foundation in big data technologies, data modeling, and software engineering, coupled with your proven leadership skills, will drive the delivery of end-to-end data solutions that have a significant business impact. **Key Responsibilities:**
Take full ownership of designing, developing, and maintaining large-scale data pipelines and systems. - Lead and mentor a team of engineers to deliver high-quality, production-ready solutions. - Collaborate with cross-functional teams to support strategic programs, operational initiatives, and new product development. - Ensure solutions align with API-First and Service-Oriented Architecture (SOA) principles. - Provide thought leadership and expert consultation to senior management on data strategy and innovation. - Oversee the creation of architecture diagrams, design documentation, and project planning artifacts. - Ensure data quality, governance, and compliance across all engineering initiatives. **Qualifications Required:**
Bachelors degree in Computer Science, Information Systems, Engineering, or a related quantitative field. - 12+ years of experience in data engineering, analytics, or related fields. - Proven experience in building and managing large-scale data pipelines using tools like SQL, PySpark, Flink, and Apache Spark. - Strong command of data modeling concepts, architecture design, and project planning. - Experience with AZURE and modern data stack tools. - Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders. - Demonstrated leadership in multi-functional project teams and consulting environments. If you join us, you will work on impactful projects that shape the future of data-driven decision-making. You will collaborate with top-tier talent in a fast-paced, innovation-focused environment and have the opportunity to influence data strategy and architecture at an enterprise level.