{"id":3302876,"url":"https://alion.io/job/hcltech-gcp-senior-technical-specialist-7","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":53},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"CI/CD","optional":true},{"name":"Erwin","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Hadoop","optional":true},{"name":"Machine Learning","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:11:08Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T23:54:52Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nWe are looking for a highly experienced GCP Data Architect to lead the design and implementation of scalable, secure, and high-performance data platforms on Google Cloud. This role requires deep expertise in modern data architectures, strong hands-on capability, and the ability to drive enterprise-level data transformation initiatives.\nKey Responsibilities\nArchitect and implement end-to-end data platforms on Google Cloud Platform (GCP).\nDesign and build scalable batch and real-time data pipelines using:\no Big Query, Dataflow (Apache Beam), Pub/Sub\nDefine and optimize data storage & processing architectures using:\no Big Query, Cloud Storage, Cloud SQL, Fire store\nLead development of robust data models, data warehouses, and data lakes.\nEstablish data governance, quality, security, and compliance frameworks.\nCollaborate with business stakeholders, data scientists, and engineering teams to translate requirements into scalable solutions.\nDrive performance optimization, cost efficiency, and reliability across data platforms.\nProvide technical leadership, conduct design reviews, and mentor engineering teams.\nDefine and enforce best practices, standards, and reusable frameworks.\nEvaluate and adopt emerging GCP services and modern data architecture patterns.\nSkill Requirements\nRequired Qualifications\nBachelor’s/master’s degree in computer science, IT, or related field\n10+ years of experience in Data Engineering / Data Architecture\nStrong hands-on expertise in GCP ecosystem\nCore Technical Skills (Must-Have)\n GCP Services:\nBig Query (Advanced level)\nDataflow (Apache Beam)\nPub/Sub\nCloud Storage\nCloud SQL / Fire store\n Data Engineering & Architecture:\nETL/ELT pipeline design (batch & streaming)\nData Warehousing & Data Modeling (Star, Snowflake)\nDistributed data processing\nReal-time data architecture\n Programming:\nPython, SQL (mandatory)\nArchitecture Expertise:\nEnd-to-end data platform design\nData governance & security models\nMetadata, lineage, and cataloging\nPreferred Skills\nGCP Certifications:\nProfessional Data Engineer / Cloud Architect\nExperience with:\nApache Spark / Hadoop ecosystem\nMachine Learning & AI pipeline integration\nExposure to:\nCI/CD, DevOps practices, Terraform\nWorkflow orchestration (Airflow / Cloud Composer)\nOther Requirements\nLeadership & Behavioral Competencies\nStrong ownership and accountability\nExcellent problem-solving and analytical thinking\nStakeholder management and executive communication\nAbility to lead teams and drive decisions\nProcess-oriented with focus on scalability and governance\nRole Expectations\nAct as solution owner for data architecture decisions\nDrive best practices adaption across teams\nEnsure alignment with enterprise data strategy\nEnable faster and reliable data-driven decision-making\n1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a 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