The Sr Manager, Data Architecture will design and shape the roadmap for scalable, high-performance data architectures that align with our organization’s vision. This role requires an innovative expert who develops data models, integration strategies, and governance frameworks to drive impactful solutions. With a focus on efficiency, security, and scalability, the Senior Manager, Data Architect will foster collaboration and continuous improvement to ensure our data infrastructure meets evolving business needs. This position also includes senior management responsibilities, leading and mentoring a team of data professionals to achieve strategic objectives.

• Design and draft the roadmap for scalable, high-performance data architectures that support business objectives and drive innovation in data management.
• Develop data models, integration strategies, and pipeline frameworks to ensure efficient, secure, and reliable data delivery.
• Collaborate with cross-functional teams to assess data needs and translate business requirements into architectural solutions.
• Evaluate, recommend, and define best practices for emerging technologies, frameworks, and methodologies to enhance data management capabilities.
• Provide technical expertise and guidance to data engineers and analysts, fostering a collaborative and knowledge-sharing environment.
• Define strategies for optimizing and modernizing data infrastructure, leveraging cloud-based platforms (Azure required) to improve scalability, performance, and cost efficiency.
• Identify potential risks in data architecture and propose mitigation strategies to ensure system reliability and availability.
• Lead and mentor a team of data professionals, providing strategic direction and ensuring alignment with organizational goals.
• Drive continuous improvement initiatives to enhance the efficiency, security, and scalability of the data architecture.

• Bachelor’s degree in Computer Science, Information Systems, or a related field; master’s degree preferred. 
• 5+ years of experience in data architecture, data engineering, or related fields, with at least 2 years in a strategic or leadership role.
• Strong expertise in data modeling, database design, ETL/ELT processes, data warehousing, data lake and lake house concepts.
• Hands-on experience with cloud-based data platforms (Azure required), including services like Azure Data Factory, Synapse Analytics, and Fabric.
• Proficiency in SQL, Python, or other programming languages used for data processing and transformation.
• Excellent problem-solving skills and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Proven experience in leading and mentoring teams, with a track record of achieving strategic objectives.

HarperCollins Publishers is a company full of people who are passionate about books.  When you apply for a position, we want to know why you want to work here, and why you are interested in the job. That’s why cover letters are strongly preferred.

The salary range for this position is $170,000 -$180,000. We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, technical and communication skills, and other factors that may prove relevant during the interview process.  

In addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce.     

HarperCollins Publishers is an equal opportunity employer.