{"id":1191382,"url":"https://alion.io/job/mastercard-lead-cloud-engineer","title":"Lead Cloud Engineer","company":{"id":252,"name":"Mastercard","domain":"mastercard.com","url":"https://alion.io/company/mastercard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":91,"open_postings":157,"ghost_share":0.013,"stale_share":0.503,"repost_share":0.045,"time_to_fill_p50_days":19,"computed_at":"2026-09-25T05:45:01Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":126000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":475},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Apache Kafka","optional":true},{"name":"FinOps","optional":true},{"name":"Flink","optional":true}],"status":"live","first_seen_at":"2026-09-24T16:52:38Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-26T02:58:53Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Our Purpose\nMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.\nTitle and Summary\nLead Cloud EngineerOverview:Interested in building the next generation cloud data ecosystem that processes petabytes of data and powers AI-driven insights for some of the world's largest brands?\nThe Marketing Services Technology team is transforming its analytics and data platform from traditional on-premises Hadoop environments to a modern cloud-native architecture powered by AWS, Databricks, Apache Spark, Iceberg, and AI technologies. We are looking for a Lead Cloud Data Engineer who is passionate about cloud engineering, Big Data, distributed systems, and modern data platforms.\nThis role works at the intersection of Cloud, Data Engineering, Analytics, and AI. You will design and deliver scalable, secure, and high-performing data solutions that support advanced analytics, machine learning, and business growth at global scale.\nThe ideal candidate has hands-on experience with modern cloud technologies as well as large-scale Big Data systems, including Hadoop and Spark, and is equally comfortable architecting cloud-native solutions, developing data pipelines, optimizing distributed workloads, and driving the modernization of enterprise data platforms.\nBuild modern cloud data solutions. Enable AI and analytics at scale. Shape the future of data-driven marketing.\nRole:\nDesign, develop, and support large-scale cloud-native data solutions on AWS and Databricks.\nBuild and maintain batch, streaming, and real-time data pipelines supporting analytics, reporting, machine learning, and AI workloads.\nEngineer scalable distributed data processing systems using Apache Spark and related Big Data technologies.\nDesign and implement modern Lakehouse architectures leveraging Databricks, Delta Lake, and Apache Iceberg.\nLead modernization initiatives migrating data workloads from Hadoop-based platforms to cloud-native architectures.\nDevelop reusable frameworks and engineering patterns that improve scalability, reliability, and operational efficiency.\nPartner with Architects, Product Managers, Data Scientists, and Software Engineers to define and implement cloud data solutions.\nEvaluate technologies and approaches for data ingestion, transformation, storage, governance, and consumption.\nImplement best practices around security, governance, performance optimization, observability, and cost management.\nDrive automation using Infrastructure-as-Code, CI/CD pipelines, and modern software engineering practices.\nContribute to the evolution of Marketing Services' cloud and data strategy while enabling future AI and machine learning capabilities.\nAll About You:\nStrong hands-on experience with Big Data technologies including Hadoop, HDFS, Hive, Spark, and related distributed computing frameworks.\nDeep expertise in cloud data engineering on AWS, including storage, compute, networking, security, and scalable data architectures.\nExperience designing and developing modern data solutions using Databricks, Spark, Delta Lake, and cloud-native technologies.\nProficiency in Python, Java, or Scala, building large-scale distributed data processing applications.\nExperience building robust batch and streaming pipelines supporting high-volume and high-velocity workloads.\nUnderstanding of modern Lakehouse architecture principles and open-table formats such as Apache Iceberg and Delta Lake.\nSkilled in data modelling, schema design, partitioning strategies, query optimization, and performance tuning.\nFamiliarity with enterprise-scale data governance, security, privacy, and compliance, working with structured and unstructured datasets at scale.\nExperience with Infrastructure-as-Code (e.g., Terraform), modern CI/CD, and cloud-native monitoring and observability practices.\nStrong analytical and problem-solving skills, a passion for automation, and the ability to assess emerging technologies and recommend scalable, cost-effective solutions.\nExcellent communication and collaboration across technical and business teams; comfortable in Agile/Scrum environments managing multiple priorities.\nBS/MS degree in Computer Science, Software Engineering, Information Systems, or a related field.\nPreferred Qualifications:\nExperience with Databricks on AWS in enterprise production environments.\nExperience migrating workloads from Hadoop or Cloudera ecosystems to modern cloud architectures.\nHands-on experience with Apache Kafka, Flink, or other event-streaming technologies.\nExperience supporting Machine Learning, MLOps, or AI-driven data platforms.\nAWS and/or Databricks certifications.\nFamiliarity with FinOps and cloud cost optimization practices.\n• Experience working with petabyte-scale data environments.\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:\nAbide by Mastercard’s security policies and practices;\n\nEnsure the confidentiality and integrity of the information being accessed;\n\nReport any suspected information security violation or breach, and\n\nComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.","description_format":"text","description_chars":5746,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-09-24T16:52:38Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":19,"reasons":["conf:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-25T05:45:01Z"},"pay":null,"html_url":"https://alion.io/job/mastercard-lead-cloud-engineer","json_url":"https://alion.io/job/mastercard-lead-cloud-engineer.json","meta":{"generated_at":"2026-09-26T03:16:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3491,"day_limit":5000,"remaining_today":1509,"minute_limit":60,"resets_at":"2026-09-27T00:00:00Z"}}}