{"id":2902764,"url":"https://alion.io/job/mcdonalds-manager-data-engineering-2","title":"Manager, Data Engineering","company":{"id":678125,"name":"McDonald's","domain":"mcdonalds.com","url":"https://alion.io/company/mcdonalds-6","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":91,"open_postings":7,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":62000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Braze","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Hadoop","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Node JS","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-05T00:00:00Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-28T02:17:20Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"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\nWe are seeking a Manager, Data Engineering to lead hands-on technical delivery for key components of our RealTime Customer Data Platform (CDP). This role is deeply focused on core data engineering: building scalable streaming pipelines, managing stateful processing, ensuring data quality and reliability, and operating production-grade data systems\nSkills Required:\nKafka, Confluent, Pub/Sub, AWS, Azure, GCP, Docker, Kubernetes, CICD, CI/CD, Java\nExperience Range:\n7 - 12 years\nDuties\nRealTime CDP & Streaming:\nArchitect, build, and operate high-throughput, low-latency streaming pipelines for clickstream, transactional, and behavioral data using Kafka, Flink, Spark Structured Streaming, or Dataflow/Beam.\nDesign stateful stream processing for sectorization, windowing, deduplication, enrichment, and late-arriving data handling.\nCore Data Engineering:\nDesign and implement robust data models for events, customer attributes, and derived features.\nManage schema evolution, backward compatibility, and data contracts. Build scalable batch pipelines to support backfills, reprocessing, and historical precomputation aligned with real-time logic.\nData Quality, Reliability & Operations\nRealTime CDP & Streaming\nAudience Building & Segmentation\nCustomer Data Products & Quality\nLeadership & Delivery\nCross Functional Collaboration.\nWork location: Hyderabad, India\nWork pattern: Full time role.\nWork mode: Hybrid\nWho We’re Looking For:\nA hands-on, full stack Data Engineering leader who can elevate real time customer data and audience/segmentation capabilities, scale them globally, and develop worldclass engineering teams that deliver privacy safe, high-performance activation.\nImplement data quality checks (completeness, validity, timeliness), pipeline-level SLAs/SLOs, and end-to-end observability.\nOwn production readiness including monitoring, alerting, capacity planning, and on-call support with SRE partners.\nArchitect and scale real-time pipelines for clickstream, transactional, and behavioral data using Kafka, Flink, Spark Structured Streaming, or Dataflow/Beam.\nDesign and evolve customer event models, session-inaction, and cross channel stitching to maintain a unified, channel stitching to maintain a unified, privacy aware customer view.\nImplement low latency activation APIs used by apps, web, CRM, loyalty, kiosks, and marketing orchestration platforms.\nImplement Eventing frameworks like managed Kafka or Confluent\nEstablish standards for observability, SLAs/SLOs, schema evolution, lineage, and cost efficiency across streaming and batch paths.\nEngineer data pipelines and services that power audience segmentation, attribute computation, and activation feeds.\nEnsure efficient data delivery to downstream systems (e.g., CDPs, marketing platforms, APIs) with strict latency and freshness guarantees.\nBuild dynamic audience services for behavioral and lifecycle cohorts, rules driven propensity groupings, and event triggered real-time segments.\nDefine data contracts and versioning for attributes, traits, and segment definitions to ensure reuse, durability, and safe change management.\nSet and abide by audience governance standards (freshness SLAs, recency/frequency windows, cardinality limits, consent gates) and ensure they’re consistently enforced.\nPartner with Mar Tech and Product to templatize audience playbooks (e.g., reactivation, onboarding, churn risk, high value, cart abandon).\nImplement comprehensive data quality, validation, and lineage across all audience and profile pipelines.\nCreate reference patterns and templates so global markets and channels can integrate quickly and safely.\nDrive CDP capabilities and roadmaps, manage dependencies, and deliver against business outcomes with clear KPIs and executive reporting.\nBuild and maintain engineering excellence: testing, automation, code quality, observability, and operational readiness.\nLead technical execution, review designs and code, mentor engineers on data engineering best practices, and drive disciplined delivery through sprint planning, estimation, and operational follow-through.\nCollaborate with Product, Mar Tech, Loyalty, Architecture, Data Governance, Security, Legal, and Compliance to align roadmaps and ensure privacy-by-design and security-by-default.\nTranslate marketing and product activation needs into reusable audience capabilities and APIs.\nSQL Very Strong proficiency in native SQL, has used Big Query or Athena Advanced performance tuning on large datasets.\nLanguages: Python (primary), JavaScript, Node.js plus Java.\nStreaming & Processing: Kafka, Flink, Spark/PySpark, Dataflow/Beam.\nAudience/Segmentation: Handson experience building audience engines, cohort generation logic, and audience APIs for activation.\nData Platforms: GCP, Databricks; Big Data ecosystems (Hadoop, lake house patterns); NoSQL; columnar formats (Parquet).\nCloud: GCP preferred (Pub/Sub, Big Query, Dataflow, Cloud Run); AWS/Azure acceptable.\nPipelines & Orchestration: ETL/ELT, Airflow/Luigi, CI/CD for data.\nData Management: Metadata management, schema evolution, data contracts, lineage.\nGovernance & Reliability: Observability, SLAs/SLOs, validation, consent/privacy controls.\n7-10 years in largescale Data Engineering / Distributed Systems.\n5+ years with GCP or AWS (GCP preferred).\n3+ years working on real time customer data and/or segmentation platforms.\nExperience with CDPs (mParticle, Adobe RTCDP, Braze, Tealium).\nDesigning real-time audience builders, rule engines, and activation frameworks.\nMultiregional deployments, data residency, and consent management at global scale.\nStrong stakeholder communication; ability to simplify technical concepts for marketers and product leaders.\nSystems thinker with strong architectural judgment and influence\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":6762,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Catering & Food Services"],"lifecycle":[{"event":"open","at":"2026-10-20T06:58:19Z"}],"visa":[],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.725,"p_room":0.55,"age_days":23,"expected_fill_days":17,"reasons":["conf:3","velocity","win:tail","comp:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":null,"html_url":"https://alion.io/job/mcdonalds-manager-data-engineering-2","json_url":"https://alion.io/job/mcdonalds-manager-data-engineering-2.json","meta":{"generated_at":"2026-10-28T07:58:04Z","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":10275,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-manager-data-engineering-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-manager-data-engineering-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-manager-data-engineering-2"},{"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-manager-data-engineering-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmcdonalds-manager-data-engineering-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":2902764}},{"tool":"search_jobs","arguments":{"company":"mcdonalds.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":2902764},"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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