{"id":3464475,"url":"https://alion.io/job/hcltech-gcp-technical-specialist-7","title":"GCP 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":"staff","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":{"min_usd":24000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Erwin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Firestore","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"CI/CD","optional":true},{"name":"Hadoop","optional":true},{"name":"Machine Learning","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-29T14:57:36Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-10-31T07:50:39Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Summary\nWe are looking for an experienced GCP Data Architect to design and build scalable, secure, and high-performance data platforms on Google Cloud. This role will drive architecture decisions, enable data-driven solutions, and ensure best practices across data engineering and analytics ecosystems.\nKey Responsibilities\nDesign and implement scalable data architectures on Google Cloud Platform (GCP).\nBuild and optimize batch and real-time data pipelines using:\nGoogle Cloud Dataflow\nGoogle Cloud Pub/Sub\nBigQuery\nArchitect and manage data storage solutions using:\nGoogle Cloud Storage (GCS)\nBigQuery\nCloud SQL / Firestore\nDevelop robust data models and data warehousing solutions (OLTP/OLAP).\nLead data integration and ETL/ELT frameworks ensuring performance and scalability.\nEnsure data quality, governance, security, and compliance across systems.\nCollaborate with data scientists, analysts, and business teams to translate requirements into solutions.\nMonitor system performance, troubleshoot issues, and ensure high availability and reliability.\nProvide technical leadership, mentor junior engineers, and define engineering standards.\nStay updated with evolving GCP services, architecture patterns, and best practices.\nSkill Requirements\nExperience\n10+ years in Data Engineering / Data Architecture\nStrong hands-on experience in GCP ecosystem\nCore Technical Skills\nGCP Services:\nBigQuery (must-have)\nDataflow (Apache Beam)\nPub/Sub\nCloud Storage\nCloud SQL / Firestore\nExpertise in:\nData Warehousing & Data Modeling (Star/Snowflake schemas)\nETL/ELT pipeline design\nReal-time & batch processing frameworks\nProgramming:\nPython, SQL (mandatory)\nStrong understanding of:\nDistributed systems\nPerformance optimization techniques\nArchitecture & Design\nAbility to design end-to-end data platforms\nExperience in defining:\nData governance frameworks\nMetadata & lineage strategies\nSecurity & access control models\nSoft Skills\nStrong analytical and problem-solving ability\nExcellent stakeholder communication\nAbility to work independently and lead teams\nOther Requirements\n1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.\nGCP Certifications:\nProfessional Data Engineer\nProfessional Cloud Architect\nExperience with:\nBig Data tools (Hadoop, Spark)\nMachine Learning / AI pipelines\nExposure to:\nCI/CD, DevOps, Infrastructure as Code (Terraform)\nData orchestration tools (Airflow, Composer)\nKey Competencies\nSolution Architecture & Design Thinking\nScalability & Performance Optimization\nStakeholder Management\nLeadership & Mentorship\nProcess and Governance Orientation\nGood to Have\nExperience working in enterprise-scale data environments\nKnowledge of multi-cloud or hybrid architectures\nDomain exposure (Healthcare, Retail, Finance, 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