Zendesk
Overview
Zendesk’s Enterprise Architecture team is looking for an Enterprise Data Architect (Senior Staff level) who will guide us in building digital data systems and platforms. In this role you will provide strategic direction, standard processes, frameworks, design patterns, and contribute to our data architecture implementation including leading MDM architecture roadmaps. Additionally, you will collaborate with Enterprise Data & Analytics, Product Architecture and Security teams to design best-in-class data movement, integration, and transformation models that effectively deliver accurate data to our teams. This is a technical role working with innovative technologies while also being able to communicate sophisticated ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical and practical strategy that teams employ across the enterprise. You will evaluate and design high-performance end-to-end data architectures, capture requirements, gain consensus, and evolve data architecture as business strategies and technologies mature. What You’ll Be Doing
Contribute to and make recommendations to Zendesk’s data ecosystem with a focus on multi-cloud architecture capable of supporting various data types; structured, semi-structured and unstructured data at the petabyte scale Lead and create overall master data solution architectures, system landscapes (blueprints), governance workflows, and systems integration and implementation standards/patterns Collaborate with business stakeholders and technical teams to understand business processes, master data management requirements and challenges, maturity levels, and identify opportunities for the design of a best-of-breed MDM solution Produce relevant solution design artifacts including technical estimates, Reference Architecture blueprints, conceptual system designs, sequence diagrams, and data models Evaluate and support data solutions within and across tools such as GCP Airflow, AWS Lambdas, Python, Cloud Functions, DBT, Astronomer.io, Workato Lead and design best-in-class practices leading to implementation planning of data movement and integration patterns across the ecosystem, defining target architectures and tools Provide leadership and standard methodologies for using native-first connectors over third-party for integrating various workflows, applications and data Partner with team members to develop a Single View of Customer and Customer Data Platform (CDP) strategy Advise on new and emerging technologies, patterns, and trends Required
Demonstrable experience with enterprise-wide architectures, integration, warehousing and highly proficient with relational database design, data streams, data modeling, and SQL 10+ years of data architecture experience leading MDM roadmaps, defined business cases and implementation efforts Deep understanding of master data management principles, data governance frameworks, and industry best practices Experience creating ETLs and reverse-ETLs patterns and services to handle data from various sources, formats, and use cases Experience with streaming, batch and micro-batch data processing and workflows Built and implemented “citizen integrator” (self-service) operating models and solutions using iPaaS or related technologies Ability to drive practical evolution and innovation of infrastructure, processes, products and services by influencing decision makers, implementers, stewards, and owners Preferred
Enterprise data management experience including analytics and data science, BI, MDM, governance, quality, security and issue management Experience driving and leading major data modernization projects Experience with principles such as reuse, deployment, scalability, observability, security, testing and high availability Experience and expertise in Lean-Agile principles and development TOGAF, ITIL, AWS Certified Cloud Practitioner or similar Proficiency in visualization tools (Tableau, D3, Looker, etc.) The US annualized base salary range for this position is $161,000.00-$241,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate will be based on job-related capabilities, applicable experience, and other factors such as work location. Hybrid: In this role, our hybrid experience is designed to give you a rich onsite experience while also offering remote work flexibility. The role requires in-office presence part of the week, with specific in-office schedule determined by the hiring manager. Zendesk is an equal opportunity employer. We value diversity, equity, and inclusion in the workplace. If you require a reasonable accommodation during the application process, please contact peopleandplaces@zendesk.com. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Software Development Referrals increase your chances of interviewing at Zendesk. Get notified about new Enterprise Data Architect jobs in Washington, United States. Location examples: Bellevue, WA; Seattle, WA; United States
#J-18808-Ljbffr
Zendesk’s Enterprise Architecture team is looking for an Enterprise Data Architect (Senior Staff level) who will guide us in building digital data systems and platforms. In this role you will provide strategic direction, standard processes, frameworks, design patterns, and contribute to our data architecture implementation including leading MDM architecture roadmaps. Additionally, you will collaborate with Enterprise Data & Analytics, Product Architecture and Security teams to design best-in-class data movement, integration, and transformation models that effectively deliver accurate data to our teams. This is a technical role working with innovative technologies while also being able to communicate sophisticated ideas to non-technical audiences. Collecting clear requirements is a key part of this role and will define the technical and practical strategy that teams employ across the enterprise. You will evaluate and design high-performance end-to-end data architectures, capture requirements, gain consensus, and evolve data architecture as business strategies and technologies mature. What You’ll Be Doing
Contribute to and make recommendations to Zendesk’s data ecosystem with a focus on multi-cloud architecture capable of supporting various data types; structured, semi-structured and unstructured data at the petabyte scale Lead and create overall master data solution architectures, system landscapes (blueprints), governance workflows, and systems integration and implementation standards/patterns Collaborate with business stakeholders and technical teams to understand business processes, master data management requirements and challenges, maturity levels, and identify opportunities for the design of a best-of-breed MDM solution Produce relevant solution design artifacts including technical estimates, Reference Architecture blueprints, conceptual system designs, sequence diagrams, and data models Evaluate and support data solutions within and across tools such as GCP Airflow, AWS Lambdas, Python, Cloud Functions, DBT, Astronomer.io, Workato Lead and design best-in-class practices leading to implementation planning of data movement and integration patterns across the ecosystem, defining target architectures and tools Provide leadership and standard methodologies for using native-first connectors over third-party for integrating various workflows, applications and data Partner with team members to develop a Single View of Customer and Customer Data Platform (CDP) strategy Advise on new and emerging technologies, patterns, and trends Required
Demonstrable experience with enterprise-wide architectures, integration, warehousing and highly proficient with relational database design, data streams, data modeling, and SQL 10+ years of data architecture experience leading MDM roadmaps, defined business cases and implementation efforts Deep understanding of master data management principles, data governance frameworks, and industry best practices Experience creating ETLs and reverse-ETLs patterns and services to handle data from various sources, formats, and use cases Experience with streaming, batch and micro-batch data processing and workflows Built and implemented “citizen integrator” (self-service) operating models and solutions using iPaaS or related technologies Ability to drive practical evolution and innovation of infrastructure, processes, products and services by influencing decision makers, implementers, stewards, and owners Preferred
Enterprise data management experience including analytics and data science, BI, MDM, governance, quality, security and issue management Experience driving and leading major data modernization projects Experience with principles such as reuse, deployment, scalability, observability, security, testing and high availability Experience and expertise in Lean-Agile principles and development TOGAF, ITIL, AWS Certified Cloud Practitioner or similar Proficiency in visualization tools (Tableau, D3, Looker, etc.) The US annualized base salary range for this position is $161,000.00-$241,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate will be based on job-related capabilities, applicable experience, and other factors such as work location. Hybrid: In this role, our hybrid experience is designed to give you a rich onsite experience while also offering remote work flexibility. The role requires in-office presence part of the week, with specific in-office schedule determined by the hiring manager. Zendesk is an equal opportunity employer. We value diversity, equity, and inclusion in the workplace. If you require a reasonable accommodation during the application process, please contact peopleandplaces@zendesk.com. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Software Development Referrals increase your chances of interviewing at Zendesk. Get notified about new Enterprise Data Architect jobs in Washington, United States. Location examples: Bellevue, WA; Seattle, WA; United States
#J-18808-Ljbffr