Director, Data Engineering

About Us

SharkNinjais a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions that positivelyimpactpeoples lives in homes around the world. Powered by two trusted global brands Shark and Ninja the company has a proventrack recordof bringing disruptive innovation to market and developing one consumer product after another has allowedSharkNinjato enter multiple product categories driving significant growth and market share gains. Headquartered in Needham Massachusetts with more than4100associates the companys products are sold at key retailers online and offline and through distributors around the world.

AI at SharkNinja

At SharkNinja were building an AI-native culture. Were not waiting for the future; were creating it. Our people are expected to experiment boldly adopt new tools and continuously raise whats possible to create meaningful impact for our consumers. If you believe the best way to do your job hasnt been invented yet youll fit right in.

Job Overview

TheDigital Transformationorganization atSharkNinjais responsible foraccelerating the companys evolution through modern technology trusted data intelligent automation and scalable digital capabilities. We partner across the enterprise to transform how we innovateoperate and make decisionsenabling faster execution deeper consumer insights and sustainable growth.

AsDirector Data Engineering you will lead the strategy architecture and execution ofSharkNinjasenterprise data engineering ecosystem. You will build and develop a high-performing team responsible for delivering reliable scalable and secure data platforms that power analytics agentic AI machine learning operational reporting and digital products across the business. You will serve asSharkNinjaschampion for AI agentic development embedding autonomous agent-driven capabilities into the data engineering function and scaling them across the enterprise.

This is a highly visible leadership role requiring a strategic thinker who thrives in a fast-paced environment and is passionate about building modern data platforms that create measurable business value. You will partner closely with Digital Transformation Product Development Commercial Supply Chain Finance Customer Experience and Enterprise Technology leaders to ensure trusted data enables faster decisions operational excellence and continued innovation.

Success in this role requires someone who isRarely Satisfied embracesProgress Over Perfection understands thatDetails Make the Difference believesWinning is a Team Sport and consistentlyCommunicates for Impactwhile delivering scalable technology solutions that positively impact our business and our consumers.

Responsibilities

• Define and execute the enterprise Data Engineering strategy in alignment withSharkNinjasDigital Transformation roadmap.

• Build lead coach and develop a high-performing organization of Data Engineers and technical leaders while fostering a culture of ownership innovation collaboration and continuous improvement.

• Architect implement and evolve modern cloud-based data platforms that support enterprise analytics AI/ML initiatives agentic AI applications operational reporting and self-service analytics.

• Establish engineering standards and best practices for data architecture ingestion transformation orchestration observability governance metadata lineage and data quality.

• Lead the modernization of legacy data environments into scalable cloud-native architectures that improve reliability performance scalability and cost efficiency.

• Partner with business and technology leaders to translate strategic priorities into enterprise data solutions that accelerate decision-making and operational excellence.

• Collaborate with Analytics Data Science AI Enterprise Applications Infrastructure and Cybersecurity teams to deliver integrated secure and governed data products.

• Drive adoption ofDataOpsbest practices including CI/CD Infrastructure as Code automated testing monitoring and deployment automation.

• Define service levelobjectivesand operational metrics to ensure platform reliability performance availability and engineering excellence.

• Champion enterprise data governance initiatives while ensuring compliance with security privacy and regulatory requirements.

• Evaluate emerging technologies andidentifyopportunities to improveSharkNinjasdata ecosystem through innovation automation and continuous optimization.

• Serve as the enterprise champion for AI agentic development defining the vision standards and roadmap for building autonomous agent-driven capabilities across the data engineering function.

• Build deploy and scale AI agents and agentic workflows that automate data pipelines orchestration quality and self-service reporting andestablishthe frameworks guardrails and governance that allow agentic development tooperatesafely and reliably at enterprise scale.

• Evangelize agentic AI capabilities across business and technology teams upskilling engineers and partners and driving adoption of agent-based approaches to accelerate decision-making and operational excellence.

• Lead architecture reviews and provide technical direction for complex enterprise initiatives involving structured semi-structured streaming and real-time data.

• Manage vendor relationships technology investments engineering roadmaps and departmental budgets to maximize business value and return on investment.

• Present platform strategy engineering progress technology roadmaps and key risks to executive leadership while influencing enterprise technology direction.

• Foster an environment that encourages experimentation learning accountability and the pursuit of Outrageously Extraordinary results.

Skills Required

Required Qualifications

• Bachelors degree in Computer Science Information Systems Data Engineering Software Engineering ora relatedtechnical discipline.

• 10 years of progressive experience in Data Engineering Data Platform Engineering Software Engineering or related technical fields.

• Significant experienceleading and developing high-performing engineering teams.

• Demonstrated success delivering enterprise-scale cloud data platform implementations.

• Experience designing and supporting modern enterprise data architectures in complex global organizations.

Preferred Qualifications

• Masters degree in Computer Science Engineering Information Systems ora relateddiscipline.

• Experience within consumer products retail manufacturing or digital commerce organizations.

• Experience leading enterprise digital transformation initiatives.

• Experience supporting AI and Machine Learning platforms at scale.

• Hands-on experience building or leading AI agentic development including LLM-based agents autonomous or multi-agent workflows and agent orchestration frameworks.

Technical Skills

• Expertisewith cloud platforms includingMicrosoft Azure AWS or Google Cloud Platform.

• Deep experience with modern data technologies including:

• Databricks

• Snowflake

• Microsoft SQL Server

• Advancedproficiencywith SQL Python Spark distributed data processing and modern ELT/ETL architectures.

• Experience with orchestration platforms such as Azure Data Factory Pipelines Apache Airflow or equivalent.

• Strong understanding ofDataOpspractices including CI/CD Infrastructure as Code (Terraform Bicep or similar) automated testing and deployment automation.

• Experience implementing enterprise data governance metadata management master data management data cataloging lineage and data quality frameworks.

• Knowledge of event-driven architectures APIs Kafka and streaming data platforms.

• Familiarity with AI/ML data pipelines feature engineering and model enablement.

• Experience with AI agentic development and agent frameworks including LLM application patterns retrieval-augmented generation tool and API calling agent orchestration and building semantic layers and data contracts for agent-facing access.

• Experience supporting enterprise BI platforms such as Power BI Tableau or equivalent analytics tools.

Nice to Have Skills

• Microsoft Fabric

• Azure Synapse Analytics

• Azure Data Factory

• Azure Data Lake Storage

Leadership Attributes

The successful candidate willdemonstrate:

• A passion for building and developing exceptional engineering teams.

• A hands-on leader whoisntafraid to roll up their sleeves and build alongside the team.

• Strategic thinking combined with a strong bias toward execution.

• Exceptional communication skills with the ability to translate complex technical concepts for executive and business audiences.

• Outstanding collaboration and stakeholder management skills across business and technology organizations.

• Comfort navigating ambiguity while driving alignment and delivering results.

• A continuous improvement mindset with a relentless focus on engineering excellence.

• A commitment to building scalable secure and resilient data platforms that accelerate innovation acrossSharkNinja.

• Genuine enthusiasm to be the champion for AI agentic development staying ahead of the curve on emerging agent capabilities and inspiring teams to adopt them.

• Leadership behaviors aligned withSharkNinjasSuccess Drivers:

• Rarely Satisfied

• Progress Over Perfection

• Details Make the Difference

• Winning is a Team Sport

• Communicating for Impact