Stanley Worldwide
Data Architect
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:
We are seeking a Data Architect with a proven track record of demonstrating exceptional talent and experience to join our team in Seattle, WA. At Stanley 1913, we take great pride in being a world-class company that leads in innovation. In this role, you will have the distinct opportunity to shape and optimize our data architecture, guaranteeing its alignment with our business objectives and enabling informed decision-making.
What You'll Do:
Data Architecture Design: As a Data Architect, you will be responsible for developing and maintaining our data architecture strategy. You will collaborate closely with various teams to ensure that our data architecture supports our business goals and industry standards, enabling us to excel in the market.
Data Modeling: You will create and optimize data models for transactional, operational, and analytical systems. Your expertise in data modeling will ensure data consistency and reliability, enabling flawless data analysis and reporting.
Data Integration: Designing and implementing end-to-end data integration solutions will be a key aspect of your role. You will consolidate data from various sources into a cohesive and accessible data environment, using the latest Azure modern data stack technologies.
Data Governance: You will establish and enforce data governance policies, standards, and procedures to ensure data quality, security, and compliance with regulatory requirements. Your attention to detail and dedication to data integrity will be crucial in maintaining a world-class data environment.
Technology Evaluation: Constantly assessing and recommending new data technologies and tools will be part of your responsibilities. Your expertise will enhance our data infrastructure and capabilities, ensuring that we stay ahead of the curve in the rapidly evolving field of data architecture.
Collaboration: You will collaborate closely with our IT, software development, and business teams. By understanding their data needs and providing technical guidance, you will ensure the seamless integration of data solutions throughout the organization.
Performance Optimization: Monitoring and optimizing data architecture performance will be essential. You will identify and resolve any issues to ensure efficient data processing and storage, allowing us to make data-driven decisions without any bottlenecks.
Documentation: Maintaining comprehensive documentation of our data architecture, models, and processes will be a crucial part of your role. This documentation will serve as a valuable reference and training resource for our team.
Experience and Qualifications:
A Bachelor's degree in Computer Science, Information Technology, or a related field is preferred. However, equivalent experience will also be considered.
We require at least 8 years of experience in data architecture, data modeling, and data integration. Experience in the manufacturing or consumer goods industry is preferred, but not required.
Technical Skills: Proficiency in data modeling tools such as ER/Studio and Erwin is critical. Additionally, experience with Microsoft Azure technologies like Azure Synapse, Azure Fabric, Data Factory, Data/Delta Lake, and Databricks is highly desirable. Familiarity with data integration platforms like Informatica and Talend will be a plus.
Analytical Skills: Strong analytical and problem-solving abilities are necessary for success in this role. Your keen attention to detail and focus on data accuracy and integrity will ensure the reliability of our data analysis.
Communication Skills: Strong communication abilities, both verbal and written, are necessary for success in this role. You should be able to effectively explain technical concepts to individuals from non-technical backgrounds, ensuring smooth and efficient communication across the organization.
Project Management: You should have demonstrated experience in managing data architecture projects from inception to completion. Your ability to prioritize tasks and meet deadlines will ensure the successful implementation of data architecture initiatives.
Knowledge: Having an understanding of data governance frameworks, data security guidelines, and important regulatory requirements like GDPR and CCPA will be greatly appreciated.
Salary Range
150000K -170000K
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.[MH2]
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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:
We are seeking a Data Architect with a proven track record of demonstrating exceptional talent and experience to join our team in Seattle, WA. At Stanley 1913, we take great pride in being a world-class company that leads in innovation. In this role, you will have the distinct opportunity to shape and optimize our data architecture, guaranteeing its alignment with our business objectives and enabling informed decision-making.
What You'll Do:
Data Architecture Design: As a Data Architect, you will be responsible for developing and maintaining our data architecture strategy. You will collaborate closely with various teams to ensure that our data architecture supports our business goals and industry standards, enabling us to excel in the market.
Data Modeling: You will create and optimize data models for transactional, operational, and analytical systems. Your expertise in data modeling will ensure data consistency and reliability, enabling flawless data analysis and reporting.
Data Integration: Designing and implementing end-to-end data integration solutions will be a key aspect of your role. You will consolidate data from various sources into a cohesive and accessible data environment, using the latest Azure modern data stack technologies.
Data Governance: You will establish and enforce data governance policies, standards, and procedures to ensure data quality, security, and compliance with regulatory requirements. Your attention to detail and dedication to data integrity will be crucial in maintaining a world-class data environment.
Technology Evaluation: Constantly assessing and recommending new data technologies and tools will be part of your responsibilities. Your expertise will enhance our data infrastructure and capabilities, ensuring that we stay ahead of the curve in the rapidly evolving field of data architecture.
Collaboration: You will collaborate closely with our IT, software development, and business teams. By understanding their data needs and providing technical guidance, you will ensure the seamless integration of data solutions throughout the organization.
Performance Optimization: Monitoring and optimizing data architecture performance will be essential. You will identify and resolve any issues to ensure efficient data processing and storage, allowing us to make data-driven decisions without any bottlenecks.
Documentation: Maintaining comprehensive documentation of our data architecture, models, and processes will be a crucial part of your role. This documentation will serve as a valuable reference and training resource for our team.
Experience and Qualifications:
A Bachelor's degree in Computer Science, Information Technology, or a related field is preferred. However, equivalent experience will also be considered.
We require at least 8 years of experience in data architecture, data modeling, and data integration. Experience in the manufacturing or consumer goods industry is preferred, but not required.
Technical Skills: Proficiency in data modeling tools such as ER/Studio and Erwin is critical. Additionally, experience with Microsoft Azure technologies like Azure Synapse, Azure Fabric, Data Factory, Data/Delta Lake, and Databricks is highly desirable. Familiarity with data integration platforms like Informatica and Talend will be a plus.
Analytical Skills: Strong analytical and problem-solving abilities are necessary for success in this role. Your keen attention to detail and focus on data accuracy and integrity will ensure the reliability of our data analysis.
Communication Skills: Strong communication abilities, both verbal and written, are necessary for success in this role. You should be able to effectively explain technical concepts to individuals from non-technical backgrounds, ensuring smooth and efficient communication across the organization.
Project Management: You should have demonstrated experience in managing data architecture projects from inception to completion. Your ability to prioritize tasks and meet deadlines will ensure the successful implementation of data architecture initiatives.
Knowledge: Having an understanding of data governance frameworks, data security guidelines, and important regulatory requirements like GDPR and CCPA will be greatly appreciated.
Salary Range
150000K -170000K
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.[MH2]
#J-18808-Ljbffr