Senior Manager, Data Engineering

Our purpose is to positively impact people’s lives every day in every home around the world! We work very hard to provide our consumers with high-quality, exciting 5-star products that make life easier.

We thrive on passion and innovation and are looking for great people, with great ideas, who want to build the next big thing and develop while they do.

Senior Manager, Data Engineering

Key Responsibilities :

• Data Infrastructure and Architecture :
• Lead the design, development, and maintenance of scalable data infrastructure and pipelines.
• Ensure the data architecture aligns with the company’s goals for analytics, machine learning, and other data-driven initiatives.
• Manage cloud-based platforms such as AWS, Google Cloud, or Azure for data storage, ETL processes, and integration with internal and external data sources.
• Team Leadership :
• Lead a team of data engineers, providing mentorship, setting objectives, and driving professional development.
• Foster a collaborative environment, ensuring the team works cross-functionally with data scientists, analysts, and business stakeholders to deliver projects effectively.
• Data Quality and Governance :
• Implement best practices for data governance, ensuring high data quality, consistency, and security across all pipelines.
• Oversee data validation processes, data cleansing efforts, and ensure compliance with relevant data privacy regulations (e.g., GDPR).
• Collaboration with Business and Technical Teams :
• Partner with product managers, business leaders, and other departments to understand data needs and deliver solutions that align with business goals.
• Work closely with IT and software engineering teams to ensure seamless integration of data pipelines with other business systems.
• Performance Optimization :
• Continuously monitor and improve the performance of data systems, focusing on latency, scalability, and cost-efficiency.
• Develop and enforce standards for system performance monitoring and alerting to prevent data pipeline failures.
• Innovation and Data Strategy :
• Lead efforts to explore and integrate new data technologies, tools, and platforms that could enhance the company’s data capabilities.
• Provide strategic guidance on the adoption of big data, AI, machine learning, and automation to improve data handling and analysis.
• Project Management :
• Oversee the end-to-end delivery of data engineering projects, ensuring timely and successful completion.
• Manage resources, timelines, and budgets for large-scale data initiatives.

Key Skills :

• Technical Expertise :
• Strong knowledge of data engineering technologies such as Python, SQL, Spark, Kafka, Hadoop, and data warehouse solutions (e.

g., Snowflake, Redshift).

• Proficiency in ETL (Extract, Transform, Load) tools and cloud-based data solutions (AWS Glue, Google BigQuery, Azure Data Factory, etc.).
• Experience with DevOps practices and infrastructure automation tools (e.g., Terraform, Kubernetes) is often required.
• Leadership and Team Management :
• Proven experience leading teams of engineers, fostering a high-performance culture, and managing distributed or global teams is often preferred.
• Strong people management skills, including recruitment, performance management, and fostering growth and innovation within the team.
• Data Governance and Compliance :
• Deep understanding of data security best practices and regulatory frameworks like GDPR and CCPA.
• Experience implementing data governance frameworks to ensure data integrity and compliance with legal requirements.
• Collaboration and Communication :
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Experience working with cross-functional teams to align data engineering efforts with business needs.
• Strategic Mindset :
• Strong business acumen and understanding of how data engineering contributes to broader business goals.
• Ability to align data engineering efforts with long-term business strategy, helping the company leverage data for competitive advantage.
• Project Management :
• Proven experience managing large-scale data engineering projects, including resource planning, risk management, and performance tracking.

At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day.

We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration.

With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.

YOUR ROLE in leading our SUCCESS DRIVERS & representing our UNIQUE MINDSET

• Lead us to be RARELY SATISFIED
• Make things better each day; PROGRESS OVER PERFECTION
• Use your knowledge of our consumer, understand that DETAILS MAKE THE DIFFERENCE
• Deliver something great; WINNING IS A TEAM SPORT
• Be clear and honest, COMMUNICATING FOR IMPACT

Explore SharkNinja : SharkNinja's Candidate Privacy Notice can be found here :

We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law.

SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at