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• Title: Senior Manager of Data Engineering
• Salary: $215K - $225K + 10% Bonus
• Requirements: 5+ years managing small engineering teams
• Location: 100% Remote

Our client, a personal finance startup, is seeking a Senior Manager of Data Engineering to join their team. The ideal candidate is passionate about data engineering leadership, ready to challenge conventions, and brimming with innovative ideas to manage people, processes, and technology.

Responsibilities

• Lead/manage/mentor data engineers to deliver high-quality software projects using open-source frameworks and Cloud Technologies (with a particular focus on AWS cloud data platforms)
• Identify, recruit, and onboard high-caliber data engineers to ensure continuous growth and expansion of team
• Set clear goals and performance objectives for the team - manage expectations/ensure the timely and high-quality execution of these goals
• Facilitate cross-functional collaboration with Product, QA, Data, and DevOps teams, ensuring the delivery of projects on time (and with exceptional quality)
• Regularly report on progress towards goals - outlining current roadblocks, time estimations, results, and recommendations for accelerating project timelines
• Actively participate in architecture, design, and code reviews for the data engineering team - provide constructive feedback/facilitating continuous improvement
• Apply architectural/engineering concepts to design solutions that meet operational requirements, including scalability, maintainability, flexibility, reliability, and availability
• Take ownership of the management of production support SLAs, focusing on optimizing performance while minimizing cost
• Ensure the highest data quality standards are maintained within the AWS cloud data platform
• Mentor/develop data engineers - encouraging innovation, timely project completion, and career growth

Requirements

• 5+ years data engineering management experience (with a proven track record of leading engineering teams to deliver world-class data solutions)
• Bachelor's (or master's) degree in Computer Science (or a related field of study)
• Experienced in building and deploying a new data platform on AWS using Redshift
• Proven track record of hiring/recruiting tech talent locally and globally
• Experience with data engineering productivity toolchains and concepts (i.e. CI/CD, DevOps, GitHub, Jira, Confluence, Agile Scrum / Kanban, etc.)
• Experience with architectural design for performance and scalability
• Strong SQL and Python skills, including knowledge of Python libraries and frameworks
• Comfortable working directly with data analytics to bridge business requirements with data engineering
• Expertise in AWS Serverless technologies (i.e. Athena, S3, Kinesis, lambda, and Glue)
• Experience with Data Integration Technologies (Matillion, Pentaho, Talend, Informatica, etc.) a plus
• Proficiency with MPP databases (i.e.Snowflake and Redshift)
• Experience with Airflow for orchestration a plus

Benefits

• Salary of $215K - $225K + 10% Bonus
• Medical, Dental, Vision
• 401K
• Paid vacation
• Paid maternity leave and paternity leave programs
• Company funding for outside classes/conferences to help you improve your skills
• Contribution to student loan debt payments after 1st year of employment