{"id":2079925,"url":"https://alion.io/job/fidelity-investments-senior-data-engineer-real-time-data-platforms-snowflake-aws","title":"Senior Data Engineer | Real-Time Data Platforms, Snowflake & AWS","company":{"id":21095,"name":"Fidelity Investments","domain":"fidelity.com","url":"https://alion.io/company/fidelity","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":10,"ghost_share":0,"stale_share":0.3,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Galway, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":137000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alation","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Collibra","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"OpenTofu","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-08T09:51:33Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-23T08:42:01Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Job Description:\nThe role:\nData Engineer with proven expertise in real-time data platforms, Snowflake, AWS, data modelling, and analytics-focused data engineering.\nLocation: Galway\nWays of Working: in Office\nWe are seeking a Data Engineer to help build and evolve the analytics platform that powers reporting, workforce planning, forecasting, operational insights, and modernization initiatives across the Fidelity Contact Center ecosystem. The Contact Center platform services over 20M clients and processes more than 35M customer interactions per year while operating on a 24x7 basis.\nThis role focuses on designing scalable data models, developing cloud-native and event-driven data solutions, and delivering trusted, analytics-ready data products on Snowflake and AWS. The ideal candidate combines strong data modeling expertise with modern software engineering and cloud-native development practices.\nThe Expertise We’re Looking For\n5+ years of experience in Data Engineering, Analytics Engineering, or Data Platform Engineering.\nBachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field.\nStrong experience in data modeling, including dimensional modeling and analytical data design.\nExpertise in SQL development, query optimization, and performance tuning.\nHands-on experience with Snowflake and modern cloud data platforms.\nExpertise with read/write-intensive OLTP databases and/or Operational Data Stores (ODS).\nExperience with real-time or near-real-time data platforms, databases, or processing systems would be of benefit.\nExperience designing analytics-ready datasets for reporting, forecasting, and business intelligence.\nExperience with AWS services and cloud-native architectures.\nKnowledge of data warehousing, distributed systems, and modern data architectures.\nExperience with Git, CI/CD pipelines, automated testing, and DevOps practices.\nStrong analytical, problem-solving, and communication skills.\nThe Skills You Bring\nData Modeling (Conceptual, Logical, Physical, Dimensional)\nSnowflake (Data Sharing, Snowpipe, Streams, Tasks, Dynamic Tables, Security)\nSQL and Data Warehousing\nAWS (S3, Lambda, SNS, SQS, IAM, Aurora/RDS, ECS/EKS, CloudWatch)\nKafka, Kinesis, or other streaming platforms\nREST APIs and integration patterns\nCI/CD and Infrastructure-as-Code (Terraform/OpenTofu/CloudFormation)\nMonitoring, Alerting, Observability, and Production Support\nData Governance, Metadata Management, Security, and Data Masking\nExperience building enterprise analytics platforms on Snowflake and AWS.\nExperience with Power BI, Tableau or similar tools.\nExperience with Collibra, Alation, or other data governance platforms.\nYour Key Responsibilities\nDesign and implement conceptual, logical, and physical data models that support analytics, reporting, forecasting, and operational decision-making.\nDevelop and maintain analytics-ready datasets and curated data products in Snowflake.\nBuild event-driven data pipelines and integrations using AWS and streaming technologies.\nPartner with business and technology teams to translate requirements into scalable data solutions.\nImplement data quality, monitoring, observability, reconciliation, and resiliency capabilities.\nApply data governance, security, privacy, and access-control best practices.\nAutomate deployments and operational processes using CI/CD and Infrastructure-as-Code.\nSupport and continuously improve critical production data platforms.\nKnowledge of data warehousing, distributed systems, and modern data architectures.\nExperience with Git, CI/CD pipelines, automated testing, and DevOps practices.\nStrong analytical, problem-solving, and communication skills.\nSuccess in the Role\nThe successful candidate will help build the data foundation that powers Contact Center modernization by delivering scalable, governed, and analytics-ready data products that support reporting, workforce planning, forecasting, operational insights, and future AI-driven capabilities.\nFor more like this search #DE\nCategory:\nInformation Technology","description_format":"text","description_chars":4040,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Wealth Management & Financial Advisors","Asset Management & Funds","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-10-08T09:51:33Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely 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