Senior Data Architect, Platform Architecture

McDonald’s Corporation

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Work type
On-site
Location
Hyderabad, Telangana, India
Posted
1 day ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $202k
$143k most similar roles pay here $254k

This listing doesn't post a salary. Most similar roles pay $167,430–$235,750.

Based on 240 similar postings.

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About McDonald’s Corporation

McDonald’s Corporation is the world's largest fast-food chain by revenue, operating over 40,000 locations in more than 100 countries.

McDonald’s Corporation currently has 49 open roles on FindRole.

Listed pay typically runs $138,207–$172,758 across 24 roles with salary data.

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At a glance

TL;DR · Senior Data Architect, Platform Architecture

The Platform Architecture- Senior Data Architect joins the Global Technology Enterprise Products & Platforms team to design trusted, scalable, and secure data capabilities across the global enterprise. This senior individual contributor defines data architecture, models, standards, integration patterns, and governance requirements to enable reliable reporting, analytics, and automation. The role involves creating conceptual, logical, and physical data models while establishing schemas, naming conventions, and data contracts for consistency. Key responsibilities include guiding designs for batch, event-driven, API-based, and near-real-time integrations, as well as ensuring data quality, lineage, and security. Candidates must possess expertise in relational and dimensional modeling, cloud data platforms, warehouses, lakes, and lakehouses. Required skills include ETL/ELT, event streaming, and messaging. The role solves complex cross-domain data initiatives by translating business needs into durable solutions while ensuring compliance with privacy and risk controls.

What you'll do

  • Define current-state, transition-state, and future-state data architecture aligned with business and technology strategies.
  • Develop data architecture principles, standards, reference patterns, and roadmaps for enterprise platforms.
  • Create and govern conceptual, logical, and physical data models across various business and technology domains.
  • Establish canonical models, taxonomies, schemas, naming conventions, and data contracts to ensure consistency.
  • Design integration patterns for batch, event-driven, API-based, and near-real-time data movement.
  • Define requirements for data quality, metadata, lineage, retention, classification, privacy, and access controls.
  • Lead architecture reviews and provide technical direction for complex, cross-domain data initiatives.
  • Translate business needs into durable data solutions by partnering with product, analytics, and engineering teams.

What we're looking for

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Information Technology, or equivalent.
  • 13+ years of experience in data architecture, data engineering, solution architecture, or related enterprise technology roles.
  • Expertise in conceptual, logical, and physical data modeling using relational, dimensional, and domain-oriented approaches.
  • Experience architecting cloud data platforms, warehouses, lakes, lakehouses, operational data stores, and integration services.
  • Strong knowledge of data governance, metadata, lineage, master/reference data, quality, retention, privacy, and security.
  • Experience with ETL/ELT, APIs, event streaming, messaging, and batch and real-time integration patterns.
  • CIS, CSA, CIS-EM, or CIS-SAM certifications are required.
  • ServiceNow Certified Technical Architect (CTA) or Certified Master Architect (CMA) (preferred); ITIL v3/v4 Managing Professional (preferred).

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