Stanley Worldwide
Manager, Data Engineering
Stanley Worldwide, Seattle, Washington, us, 98127
About Us
Stanley, a HAVI company, is defined by Creativity, Building and Invention. We are makers of the legendary bottle and box. Driven by purpose, passion, and performance. Obsessed with making a difference and keeping our promises. Proud of our yesterday and focused on building the team of tomorrow.
Position Overview
Are you an experienced Manager of Data Engineering looking for an exciting opportunity at Stanley 1913? Join our team of highly skilled data engineers in Seattle, WA and make a significant impact. We are seeking a candidate who has a proven history of excelling in data engineering and possesses strong leadership abilities. If you are passionate about using data to uncover valuable business insights and enhance performance, this is the role for you. Your key responsibilities will include supervising the design, implementation, and maintenance of our data infrastructure, ensuring that it effectively supports our business needs and objectives.
Key Responsibilities
Lead, mentor, and manage a team of data engineers, data scientists, and BI developers, fostering a collaborative and high-performance culture.
Design, develop, and maintain scalable data pipelines and architectures to support data integration, ETL processes, and data warehousing.
Develop SDLC principles, standards, and guidelines based on industry-accepted data architecture practices and techniques.
Collaborate with diverse teams, including data science, analytics, and product development, to understand data needs and deliver solutions that drive exceptional business value.
Ensure the integrity, availability, and performance of data systems through proactive monitoring and maintenance.
Implement effective strategies for data management, ensuring proper data governance, security, and compliance.
Drive continuous improvement in data engineering practices, tools, and processes to maintain our world-class standards.
Stay up-to-date with emerging trends and technologies in data engineering and recommend innovative solutions to enhance our data capabilities.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
7+ years of experience in data engineering, with at least 3 years in a leadership or management role.
Strong proficiency in SQL, Python, and data modeling.
Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
Strong hands-on experience implementing and using cloud-based storage, data lake, analytics, visualization, SQL, container, dev ops, and security services.
Experience with data platforms supporting Data as a Product, Data as a Service, Data Mesh, Data Virtualization, Delta Lake, Lakehouse, and/or Data Fabric.
Experience with modern data processing technologies including Hadoop, Spark, and Kafka.
Proven track record of designing and implementing scalable data pipelines and ETL processes.
Excellent problem-solving skills and the ability to work effectively in a fast-paced, dynamic environment.
Effective interpersonal skills, with the ability to collaborate well with both technical and non-technical individuals.
Preferred Qualifications
Experience in the consumer goods or retail industry.
Knowledge of data visualization tools (e.g., Tableau, Power BI).
Understanding of machine learning and data science concepts.
Certification in cloud platforms (e.g., Azure platform related certifications, AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
Salary Range
$130,000-$160,000 Annually
Stanley is committed to a diverse and inclusive work environment. Stanley is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please reach recruiting@stanley1913.com.
The base pay range for this position is for a successful candidate within the state listed. The successful candidate's actual pay will be based on multiple factors, such as work location, job-related knowledge, skills, qualifications, and experience. Stanley is a total rewards company, which includes rewards beyond base salary. At Stanley, full-time employees are eligible for an annual bonus, based on company and individual results. In addition, we offer a variety of employee benefits, personalized time off, 14-Paid holidays, dental, vision, 401(k), and much more.
About HAVI
HAVI is a global, privately owned company that connects people with ideas, data with insights, supply with demand, restaurants with deliveries and ultimately, people with the products they love. Whether we are sourcing, storing or delivering products, we bring unmatched category expertise and unrivaled operational excellence, combined with powerful digital analytics and insights. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. HAVI's business units include Supply Chain, tms and Stanley. Our portfolio of businesses offers best-in-class sourcing and supply chain capabilities, brand defining marketing and promotion services and innovative consumer products. For more information, please visit HAVI.com, tmsw.com and stanley1913.com.
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Stanley, a HAVI company, is defined by Creativity, Building and Invention. We are makers of the legendary bottle and box. Driven by purpose, passion, and performance. Obsessed with making a difference and keeping our promises. Proud of our yesterday and focused on building the team of tomorrow.
Position Overview
Are you an experienced Manager of Data Engineering looking for an exciting opportunity at Stanley 1913? Join our team of highly skilled data engineers in Seattle, WA and make a significant impact. We are seeking a candidate who has a proven history of excelling in data engineering and possesses strong leadership abilities. If you are passionate about using data to uncover valuable business insights and enhance performance, this is the role for you. Your key responsibilities will include supervising the design, implementation, and maintenance of our data infrastructure, ensuring that it effectively supports our business needs and objectives.
Key Responsibilities
Lead, mentor, and manage a team of data engineers, data scientists, and BI developers, fostering a collaborative and high-performance culture.
Design, develop, and maintain scalable data pipelines and architectures to support data integration, ETL processes, and data warehousing.
Develop SDLC principles, standards, and guidelines based on industry-accepted data architecture practices and techniques.
Collaborate with diverse teams, including data science, analytics, and product development, to understand data needs and deliver solutions that drive exceptional business value.
Ensure the integrity, availability, and performance of data systems through proactive monitoring and maintenance.
Implement effective strategies for data management, ensuring proper data governance, security, and compliance.
Drive continuous improvement in data engineering practices, tools, and processes to maintain our world-class standards.
Stay up-to-date with emerging trends and technologies in data engineering and recommend innovative solutions to enhance our data capabilities.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
7+ years of experience in data engineering, with at least 3 years in a leadership or management role.
Strong proficiency in SQL, Python, and data modeling.
Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
Strong hands-on experience implementing and using cloud-based storage, data lake, analytics, visualization, SQL, container, dev ops, and security services.
Experience with data platforms supporting Data as a Product, Data as a Service, Data Mesh, Data Virtualization, Delta Lake, Lakehouse, and/or Data Fabric.
Experience with modern data processing technologies including Hadoop, Spark, and Kafka.
Proven track record of designing and implementing scalable data pipelines and ETL processes.
Excellent problem-solving skills and the ability to work effectively in a fast-paced, dynamic environment.
Effective interpersonal skills, with the ability to collaborate well with both technical and non-technical individuals.
Preferred Qualifications
Experience in the consumer goods or retail industry.
Knowledge of data visualization tools (e.g., Tableau, Power BI).
Understanding of machine learning and data science concepts.
Certification in cloud platforms (e.g., Azure platform related certifications, AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
Salary Range
$130,000-$160,000 Annually
Stanley is committed to a diverse and inclusive work environment. Stanley is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please reach recruiting@stanley1913.com.
The base pay range for this position is for a successful candidate within the state listed. The successful candidate's actual pay will be based on multiple factors, such as work location, job-related knowledge, skills, qualifications, and experience. Stanley is a total rewards company, which includes rewards beyond base salary. At Stanley, full-time employees are eligible for an annual bonus, based on company and individual results. In addition, we offer a variety of employee benefits, personalized time off, 14-Paid holidays, dental, vision, 401(k), and much more.
About HAVI
HAVI is a global, privately owned company that connects people with ideas, data with insights, supply with demand, restaurants with deliveries and ultimately, people with the products they love. Whether we are sourcing, storing or delivering products, we bring unmatched category expertise and unrivaled operational excellence, combined with powerful digital analytics and insights. Founded in 1974, HAVI employs more than 10,000 people and serves customers in more than 100 countries. HAVI's business units include Supply Chain, tms and Stanley. Our portfolio of businesses offers best-in-class sourcing and supply chain capabilities, brand defining marketing and promotion services and innovative consumer products. For more information, please visit HAVI.com, tmsw.com and stanley1913.com.
#LI-VS1
#LI-hybrid
#J-18808-Ljbffr