{"id":4172588,"url":"https://alion.io/job/mcdonalds-sr-manager-data-architecture","title":"Sr Manager, Data Architecture","company":{"id":678125,"name":"McDonald's","domain":"mcdonalds.com","url":"https://alion.io/company/mcdonalds-6","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":90,"open_postings":11,"ghost_share":0,"stale_share":0.364,"repost_share":0.091,"time_to_fill_p50_days":23,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Erwin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google ADK","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"IAM","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LangGraph","optional":false},{"name":"Liquibase","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MicroStrategy","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Neo4j","optional":false},{"name":"Pandas","optional":false},{"name":"Polars","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"Zero Trust","optional":false},{"name":"Java","optional":true},{"name":"LangChain","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-11T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T15:08:19Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About McDonald’s:\nOne of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.\nDepartment Overview\nOne of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.\nPosition Summary:\nStaff Data Engineer, Restaurant Domain:\nHybrid technical leadership role within Enterprise Data Analytics & AI (EDAA), serving as the principal design authority and engineering champion for enterprise-scale data assets. This role defines canonical data models, drives full-stack data engineering standards, and ensures architectural integrity from source extraction to downstream analytical presentation. It is accountable for both the blueprint and the build, from leading solutioning sessions to establishing pipeline frameworks on the modern data stack (Python, Google BigQuery, dbt, Apache Airflow on Astronomer, and Confluent Kafka). It directly shapes how high-volume, multi-market operational and analytical data is ingested, transformed, secured, and served. Also leads the semantic layer and GenAI foundations that let analytics, applications, and AI agents use the same governed definitions.\nDuties\nDesign, govern, and maintain enterprise-grade conceptual, logical, and physical data models, establish canonical structures for master, transactional, and reference data across global markets, and manage their lifecycle and versioning in Erwin Data Modeler. \nOversee schema evolution, partitioning, clustering, and materialized view strategies in Google BigQuery. \nArchitect resilient end-to-end ELT / ETL pipelines for batch and low-latency streaming workloads, and define standard Apache Airflow (Astronomer) DAG patterns with reusable operators, dependency handling, and automated failure recovery. \nEnforce software engineering rigor and quality through Git, GitHub Actions reusable workflows, Terraform, Liquibase schema migrations, automated testing, environment promotion, data observability, and data quality harnesses (dbt tests, Dataplex data quality, reconciliation checks). \nDrive performance engineering and FinOps through SQL tuning, BigQuery slot reservations, data skew diagnosis, and compute and storage cost optimization. \nChampion medallion layering (raw, bronze, silver, gold, and a semantic / KPI layer) and Kimball dimensional modeling, and set dbt coding standards and package structures. \nRun Architecture Review Board and cross-functional architecture sessions with approval authority on physical schemas, ingestion blueprints, and pipeline code before deployment. \nMaintain automated lineage, data dictionary synchronization, enterprise catalog integration (Dataplex / Knowledge Catalog), and Data Interface Contracts. \nDesign ingestion frameworks for vendor files, OAuth2 APIs, Confluent Kafka streams, and existing Talend jobs, lead Talend-to-dbt modernization, and design serving layers including consumption datamarts and REST APIs. \nTranslate analytical and AI / ML use cases into production data products with portfolio and product leads, and ensure consumption across Tableau, MicroStrategy, and web applications. \nEnforce zero-trust access with column-level access control, row-level security, policy tags, authorized views, and dynamic data masking, using PAM-gated role access and Workload Identity Federation, in line with GDPR, CCPA / CPRA, and corporate security frameworks. \nDesign and own the semantic / KPI layer and governed metric definitions, so that restaurant performance KPIs are defined once and reused across BI, applications, and AI, with ontology design where it adds value. \nBuild GenAI data foundations on Vertex AI, Gemini, and Google ADK, including grounding AI agents on governed data, embeddings and vector search, and LLM output evaluation. \nLead the adoption of new restaurant location and hierarchy master data across restaurant data products. \nAdvise leadership on data architecture roadmaps and cloud investments, drive architectural readiness in PI planning, mentor lead engineers, modelers, and analytics engineers, and drive adoption of AI-assisted engineering with standards for review, security, and responsible use. \nQualifications\n10+ years of progressive experience in data engineering, data architecture, and software engineering, with at least 3-4 years in an architectural or engineering leadership role. \nProven track record designing, building, and operating multi-terabyte to petabyte-scale data lakes and enterprise warehouses in multi-region cloud environments. \nDeep GCP data ecosystem expertise: BigQuery, Cloud Storage, Dataflow / Dataproc, Pub/Sub, Cloud Run, Dataplex, and IAM. \nAdvanced Python (OOP, concurrency, Pandas / Polars) and production-grade SQL (window functions, analytical transforms, execution plan tuning). \nExpert data modeling with Erwin Data Modeler or ER/Studio across relational, dimensional (star / snowflake), and lakehouse paradigms. \nHands-on mastery of dbt Core and Apache Airflow (Astronomer). \nPractical expertise with Docker, Git workflows, GitHub Actions, and Terraform. \nDemonstrated experience with automated data testing, schema contract validation, and pipeline health monitoring. \nHolistic systems thinking, moving from enterprise architecture roadmaps to Python code reviews, SQL profiling, and CI/CD debugging. \nInfluential communication and pragmatic governance through developer enablement, automated guardrails, and templates. \nHands-on use of AI coding assistants to improve engineering productivity, with standards for review and responsible use. \nHands-on semantic engineering: semantic layers and metric stores (tool-agnostic). \nGenAI experience building LLM applications on Vertex AI / Gemini and Google ADK, including RAG, embeddings, vector databases, prompt and agent design, LLM evaluation, and responsible AI guardrails. \nBachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related quantitative field. \nPreferred: ontology design; knowledge graph design and querying (Neo4j or Spanner Graph, with Cypher, GQL, or SPARQL) and entity resolution; Google Professional Data Engineer, Google Professional Cloud Architect, Google Professional ML Engineer, Databricks, or TOGAF certification; distributed streaming and event-driven architectures on Confluent Kafka or Pub/Sub; Gravitee API gateway; agent frameworks (Google ADK, Vertex AI Agent Builder, LangGraph) and Model Context Protocol (MCP); Talend; and PySpark. \nGood to know: reverse ETL tooling and Liquibase. \nMcDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.","description_format":"text","description_chars":7771,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Catering & Food Services"],"lifecycle":[{"event":"open","at":"2026-11-12T15:08:19Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":23,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-12T16:30:05Z"},"pay":null,"html_url":"https://alion.io/job/mcdonalds-sr-manager-data-architecture","json_url":"https://alion.io/job/mcdonalds-sr-manager-data-architecture.json","meta":{"generated_at":"2026-11-12T16:30:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":34552,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":678125},"rest":"https://alion.io/mcp/rest/get_company?id=678125"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmcdonalds-sr-manager-data-architecture"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmcdonalds-sr-manager-data-architecture"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmcdonalds-sr-manager-data-architecture"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/mcdonalds-sr-manager-data-architecture\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmcdonalds-sr-manager-data-architecture"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4172588}},{"tool":"search_jobs","arguments":{"company":"mcdonalds.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4172588},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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