Senior Data Engineering Manager

About the Role

The data engineering team at YipitData is responsible for developing and maintaining the company's data infrastructure, which includes data pipelines, data warehouses, and data lakes. As a senior manager, you will be expected to lead the team in designing and implementing scalable and efficient data systems that meet the company's growing needs. You will also be responsible for ensuring that the team is following best practices and industry standards in data engineering.

YipitData operates in a fast-paced and dynamic environment, and the data engineering team is no exception. As a senior manager, you will be expected to be adaptable, flexible, and able to pivot quickly in response to changing business needs. You will also be expected to be a strong leader and mentor, able to guide and develop junior team members and help them grow in their careers.

What You Will Do

• Lead the design, development, and deployment of large-scale data systems, including data pipelines, data warehouses, and data lakes
• Manage and mentor a team of data engineers, providing guidance and support to help them grow in their careers
• Collaborate with cross-functional teams, including data science, product, and sales, to drive business growth and outcomes
• Develop and maintain data engineering best practices and standards, ensuring that the team is following industry-leading approaches
• Work closely with stakeholders to understand business needs and develop data-driven solutions to meet those needs
• Design and implement data quality and testing frameworks to ensure the accuracy and reliability of data systems
• Develop and manage data engineering budgets, ensuring that the team is operating within budget and meeting business objectives
• Stay up-to-date with industry trends and emerging technologies, applying that knowledge to drive innovation and improvement in data engineering practices
• Lead the development of technical roadmaps and strategic plans for the data engineering team
• Collaborate with other teams to develop and implement company-wide data strategies and initiatives

What We Are Looking For

• 5+ years of experience in data engineering, with a focus on leading teams and managing large-scale data systems
• Strong technical skills in data engineering, including experience with data pipelines, data warehouses, and data lakes
• Experience with cloud-based data platforms, such as AWS or GCP
• Strong leadership and management skills, with experience guiding and developing junior team members
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions
• Experience with data engineering tools and technologies, such as Apache Beam, Apache Spark, and Apache Kafka
• Strong understanding of data quality and testing principles, with experience developing and implementing data quality frameworks
• Bachelor's degree in Computer Science, Engineering, or a related field

Nice to Have

• Experience with machine learning and data science, with a focus on developing and deploying models at scale
• Knowledge of industry-specific data regulations and standards, such as GDPR and HIPAA
• Experience with agile development methodologies, such as Scrum or Kanban
• Certification in data engineering or a related field, such as Certified Data Engineer or Certified Analytics Professional

Benefits and Perks

• Competitive salary and benefits package
• Opportunities for professional growth and development, including training and education programs
• Collaborative and dynamic work environment, with a focus on innovation and creativity
• Flexible work arrangements, including remote work options and flexible hours
• Access to cutting-edge technologies and tools, including cloud-based data platforms and data engineering tools
• Comprehensive health and wellness programs, including medical, dental, and vision insurance
• Generous paid time off and holiday schedule, including vacation days and sick leave
• Retirement savings plan, including 401(k) matching and other benefits
• Opportunities for social impact and community involvement, including volunteer programs and charitable initiatives

• Develop a strong portfolio that showcases your technical skills and experience in data engineering, including examples of large-scale data systems you have designed and implemented.
• Be prepared to talk about your experience leading teams and managing large-scale data systems, including your approach to leadership and management.
• Research YipitData's company culture and values, and be prepared to discuss how your skills and experience align with those values.
• Practice your communication and collaboration skills, including your ability to work effectively with cross-functional teams.
• Be prepared to discuss your experience with data quality and testing frameworks, including your approach to ensuring the accuracy and reliability of data systems.
• Consider earning certifications in data engineering or related fields to demonstrate your expertise and commitment to the field.
• Be prepared to negotiate salary and benefits, including flexible work arrangements and professional development opportunities.