{"id":570356,"url":"https://alion.io/job/fortinet-sales-operations-database-administrator","title":"Sales Operations Database Administrator","company":{"id":52696,"name":"Fortinet","domain":"fortinet.com","url":"https://alion.io/company/fortinet-blog","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":87,"open_postings":174,"ghost_share":0,"stale_share":0.73,"repost_share":0,"time_to_fill_p50_days":2,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":198000,"period":"year","method":"role_country_seniority_unknown","sample_n":159},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"MongoDB","optional":false},{"name":"MS SQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-06T00:00:00Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-17T18:40:50Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":72},"description":"Location: London or Manchester, UK\nObjective:\nSales Operations at Fortinet manages systems and databases used by all the employees in Sales plus other departments. Over the past 10 years the data architecture and decisions from Sales Ops meant that our BI tools became first class, we are looking for someone to help us with the continuous search for better technologies. A core part of this role is helping build out our AI capabilities - the data infrastructure you administer will increasingly serve as the foundation of LLM powered tools.\nResponsibilities:\nMaintain API Jobs: our data comes from different places at Fortinet, most of these processes are written in Python, the successful applicant will be expected to maintain, improve and add new processes. \nDatabase work: we currently run most of our data under Microsoft SQL, we also leverage Mongo and Postgres. You will be expected to maintain ETL scripts and other SQL Queries that make our BI Tool (Tableau) operate. We also expect you to manage indexing, cleanups and good performance practices. \nExploring new solutions: you will be expected to proactively review and help assess new tools that can make our processes better and faster, as technology changes and LLMs become more frequently used, we need to make sure our databases can handle future workload.\nEnable AI capabilities: you will play a key role in building and maintaining the data foundation that powers AI and LLM-based tools across the organization.\nCRM Work: even though we don’t work inside the CRM, you will be expected to understand how a CRM works and how sales uses a CRM, this will be helpful when importing datasets and understanding how to build efficient queries for sales.\nInvestigative approach: the applicant must have the instinct of being curious, our team is continuously learning new technologies and building new applications for sales, we expect you to keep up and bring new ideas.\nRequired Skills:\nStrong Python for building and maintaining data pipelines, API integrations, and automation scripts.\nAdvanced SQL, with hands-on experience in RDBMS and data lakes.\nExperience monitoring database systems for capacity and performance.\nProven experience designing and maintaining ETL processes feeding BI/reporting tools.\nDatabase performance tuning: indexing strategy, query optimization, data cleanup, and general good-hygiene practices.\nExperience with Tableau as a data source owner, not just a report consumer.\nWorking understanding of how CRMs operate and how sales teams use them (Salesforce experience a plus), enough to model and import sales datasets sensibly.\nComfort integrating and consuming REST APIs from varied internal and third-party sources.\nLocation:\nCandidate should be in the London Metro area. 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