Senior Analyst, Data Engineering
The Walt Disney Company
CloudETLInformaticaPythonSQL
Lead Data Architect
Zendesk
full-time
Posted on:
Location: Wisconsin • 🇺🇸 United States
Visit company websiteSalary
💰 $161,000 - $241,000 per year
Job Level
Senior
Tech Stack
AirflowAWSCloudD3.jsGoogle Cloud PlatformPythonSQLTableau
About the role
- Provide strategic direction, standard processes, frameworks, design patterns, and contribute to our data architecture implementation including leading MDM architecture roadmaps.
- Collaborate with Enterprise Data & Analytics, Product Architecture and Security teams to design data movement, integration, and transformation models.
- Evaluate and design high-performance end-to-end data architectures, capture requirements, gain consensus, and evolve data architecture as business strategies and technologies mature.
- Lead and create overall master data solution architectures, system landscapes (blueprints), governance workflows, and systems integration and implementation standards/patterns.
- Produce solution design artifacts including technical estimates, Reference Architecture blueprints, conceptual system designs, sequence diagrams, and data models.
- Evaluate and support data solutions across tools such as GCP Airflow, AWS Lambdas, Python, Cloud Functions, DBT, Astronomer.io, Workato.
- Lead and design best-in-class practices for data movement and integration patterns, define target architectures and tools.
- 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.
Requirements
- 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
- Preferred: Enterprise data management experience including exposure to analytics and data science, BI, MDM, governance, quality, security and issue management
- Preferred: Experience driving and leading major data modernization projects
- Preferred: Experience with principles such as reuse, deployment, scalability, observability, security, testing and high availability
- Preferred: Experience and expertise in the Lean-Agile principles and development
- Preferred: TOGAF, ITIL, AWS Certified Cloud Practitioner or similar certifications
- Preferred: Proficiency in visualization tools (Tableau, D3, Looker, etc.)
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