{"id":2354548,"url":"https://alion.io/job/kanini-software-solutions-gcp-data-architect","title":"GCP Data Architect","company":{"id":3800175,"name":"KANINI Software Solutions","domain":"kanini.com","url":"https://alion.io/company/kanini-software-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":117000,"max_usd":252000,"period":"year","method":"global_role_seniority_cell","sample_n":639},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Google BigQuery","optional":false},{"name":"HIPAA","optional":false},{"name":"Informatica","optional":false},{"name":"Master Data Management","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-10-12T10:44:54Z","employer_posted_date":null,"last_verified_at":"2026-10-12T10:44:54Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"This is a remote position.Scope:We are seeking a strategic and technically strong Data Architect to define, design, and govern enterprise data architecture and integration frameworks. This role is responsible for establishing scalable, secure, and high-performing data ecosystems that enable advanced analytics, business intelligence, and operational excellence. \n\nThe ideal candidate will bring deep expertise in data modeling, architecture patterns, integration strategies, and data governance, along with the ability to translate business needs into cohesive data solutions across complex, hybrid environments. \n\nKey Responsibilities\nLead architecture decisions for GCP data platforms.\n\nEnsure scalability, security, and performance across data platforms and pipelines.\n\nDefine standards for DevOps/DataOps practices, including CI/CD, monitoring, and cost optimization.\n\nDrive adoption of modern data architecture patterns (Data Mesh, Lakehouse, etc.).\n\nArchitect robust data integration frameworks across internal systems, APIs, SaaS platforms, and cloud services.\n\nDefine standards for batch and real-time data processing, including event-driven architectures and streaming platforms (e.g., Kafka, Pub/Sub).\n\nGuide the design of ETL/ELT pipelines, ensuring scalability, reusability, and performance (execution may be handled by engineering teams).\n\nDefine and enforce data governance frameworks, including data quality, stewardship, lineage, and metadata management.\n\nEstablish enterprise standards for data validation, consistency, and observability.\n\nPartner with stakeholders to implement data catalogs, lineage tracking, and master data management (MDM) strategies.\n\nEnsure compliance with data privacy and regulatory requirements (e.g., HIPAA, GDPR).\n\nCollaborate with data engineers, data scientists, business leaders, and application teams to align architecture with business goals.\n\nProvide architectural guidance and oversight for data-related initiatives and projects.\n\nMentor engineering teams on best practices in data architecture, modeling, and integration design.\n\nAct as a key advisor on data strategy and decision-making across the organization.\n\nQUALIFICATIONSRequired\n8–12+ years of experiencein data engineering, data architecture, or enterprise data platform roles.\n\nStrong experience designing enterprise data architectures, data models, and integration frameworks.\n\nDeep knowledge of GCP cloud data platforms ( GCP) and services such as Google Cloud Dataflow.\n\nProficient in SQL, Python, and scripting for data manipulation and automation\n\nExperience with ETL/ELT tools (Informatica, Talend, SSIS, etc.) from an architectural/design perspective.\n\nStrong understanding of APIs, microservices, and distributed systems.\n\nPreferred\nExperience with streaming and event-driven architectures (Kafka, Pub/Sub, Kinesis).\n\nHands-on knowledge of modern data platforms (Snowflake, BigQuery, Redshift, Databricks).\n\nExperience implementing Data Lake, Lakehouse, or Data Mesh architectures.\n\nFamiliarity with data governance tools, data catalogs, and metadata management solutions.\n\nIndustry experience in healthcare, fintech, or e-commerce environments.\n\nOriginally posted on Himalayas","description_format":"text","description_chars":3200,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Custom Software Development","AI Consulting & Integration"],"lifecycle":[{"event":"open","at":"2026-10-12T14:31:34Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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