Urgent! Enterprise Data Architect Job Opening In Washington – Now Hiring Zendesk
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, gaining consensus, and evolve data architecture as business strategies and technologies mature.
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.
Collaborating 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 but not limited to technical estimates, Reference Architecture blueprints, conceptual system designs, sequence diagrams, and data models.
Evaluate and support data solutions within and across a variety of data 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 our ecosystem, defining target architectures and tools
Provide leadership and standard methodologies for using native-first connectors over third-party for integrating our various workflows, applications and data.
Partner with team members to develop a Single View of Customer and Customer Data Platform (CDP) strategy
Act as an advisor for new and emerging technologies, patterns, and trends
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
Creating ETLs and reverse-ETLs patterns and services to handle data from various data sources, formats, and use cases
Experience with streaming, batch and micro-batch data processing and workflows
Built and implemented “citizen integrator” (user self-service) operating models and solutions using iPaaS or related technologies
Ability to drive the practical evolution and innovation of infrastructure, processes, products and services by influencing decision makers, implementers, stewards, and owners of what direction should be taken
Enterprise data management experience including exposure to aspects such as analytics and data science, BI, MDM, governance, quality, security and issue management to enable effective engagement
Experiencing 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 the Lean-Agile principles and development
TOGAF, ITIL, AWS Certified Cloud Practitioner or similar certifications
Proficiency in visualization tools (Tableau, D3, Looker, etc.)
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week.
This role must attend our local office for part of the week.
The specific in-office schedule is to be determined by the hiring manager.
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Unlock Your Enterprise Data Potential: Insight & Career Growth Guide
Real-time Enterprise Data Jobs Trends in Washington, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Enterprise Data in Washington, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 53448 jobs in United States and 834 jobs in Washington. This comprehensive analysis highlights market share and opportunities for professionals in Enterprise Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Zendesk is currently hiring and seeking a Enterprise Data Architect to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Enterprise Data Architect Jobs Washington.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Zendesk adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Enterprise Data Architect Jobs United States varies, but the pay scale is rated "Standard" in Washington. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Enterprise Data Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Enterprise Data Architect interview at Zendesk, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Zendesk's products or services and be prepared to discuss how you can contribute to their success.
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