{"id":3303189,"url":"https://alion.io/job/hcltech-gcp-senior-technical-specialist-8","title":"GCP Senior Technical Specialist","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Philadelphia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1808},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-27T00:14:34Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-30T06:31:51Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Summary\nWe are seeking a highly experienced GCP Architect with 10+ years of IT experience to design, implement, and oversee scalable, secure, and high-performance cloud solutions on Google Cloud Platform (GCP). The role involves defining cloud architecture, governance, and driving large-scale digital transformation initiatives. The Architect will be responsible for designing, developing, and maintaining scalable data pipelines and solutions on Google Cloud Platform (GCP). The role focuses on data ingestion, transformation, orchestration, and governance across enterprise data systems. The Architect will work closely with the team, and business stakeholders to implement high-quality, performance-optimized data solutions in BigQuery and related GCP services.\nKey Responsibilities\nArchitecture & Solution Design\nDesign end-to-end cloud architecture on GCP aligned with business objectives\nLead architecture reviews and define best practices for cloud adoption\nBuild scalable, highly available, and cost-effective solutions\nCloud Platform Management & Governance\nDefine governance models, security standards, and compliance frameworks\nEnsure adherence to IAM, networking, and security best practices\nImplement enterprise-level cloud operating models [eInvoice C...SME Roles | Word]\nData & Application Architecture\nArchitect data platforms using services such as BigQuery, Cloud Storage, and Dataflow\nDesign modern data pipelines and integration patterns\nDrive migration strategies (e.g., on-prem / Snowflake to GCP)\nPerformance, Security & Optimization\nIdentify and remediate performance bottlenecks and security vulnerabilities\nConduct architecture reviews for system improvements and risk mitigation\nOptimize cloud costs and performance\nDevOps & Automation\nDefine and implement Infrastructure as Code (Terraform, etc.)\nEnable CI/CD pipelines for cloud-native deployments\nDrive platform engineering and automation strategies\nLeadership & Stakeholder Management\nAct as SME for cloud architecture and guide engineering teams\nCollaborate with business stakeholders, delivery teams, and leadership\nMentor engineers, and DevOps teams\nCloud Operations & Reliability\nEnsure high availability, disaster recovery, and monitoring frameworks\nOversee incident management and cloud operations excellence\nSkill Requirements\nStrong hands-on experience in Google Cloud Platform (GCP) with expertise in BigQuery, Dataflow, Cloud Composer, and GCS.\nDeep expertise in Google Cloud Platform (GCP) services and architecture.\nProficient in Python programming for data engineering (Dataflow pipelines, validation scripts, automation).\nExpertise in BigQuery SQL, Stored Procedures, Views, and User Defined Functions (UDFs).\nExperience with data migration from on-premise or cloud data warehouses (preferably Snowflake, Teradata, Netezza, Oracle, SQL Server) to BigQuery.\nStrong understanding of ETL/ELT frameworks, data modeling, and schema design (Star/Snowflake).\nFamiliarity with data governance, metadata, and lineage frameworks on GCP.\nKnowledge of data validation and testing techniques, including reconciliation, rule-based checks, and automation.\nHands-on experience in workflow orchestration using Cloud Composer (Airflow) with custom operators.\nStrong SQL tuning and BigQuery performance optimization skills.\nGood communication and collaboration skills to work with cross-functional teams in Agile environments.\nProven ability to troubleshoot, optimize, and enhance complex data workflows at scale.\nOther 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