Jobs at Rimes Technologies

Develop and maintain Salesforce solutions using Apex, Lightning Web Components, APIs, integrations, and automation. Establish engineering standards, reusable components, testing, source control, CI/CD, deployment, monitoring, and release practices for Business Applications. Partner with Revenue Operations and GTM stakeholders to translate business needs into scalable solutions, troubleshoot complex issues, reduce technical debt, and support Salesforce’s broader application ecosystem.

Provides senior executive sponsorship for complex APAC client transformation programmes. Builds trusted executive relationships, supports governance and escalations, aligns client and organizational priorities, removes cross-functional barriers, and facilitates decisions across globally distributed teams. The role strengthens strategic client relationships, supports commercial discussions, promotes delivery transparency, and develops a repeatable executive engagement model without owning day-to-day delivery or programme workstreams.

Leads complex client engagements from requirements discovery through solution design, delivery, validation, adoption, and change management. The role owns multi-workstream outcomes, facilitates senior stakeholder workshops, manages scope and risks, mentors consultants, collaborates with Product and Engineering, supports UAT, and advances professional services methodologies. It also drives adoption of AI-enabled workflows and applies expertise in investment management, asset management, financial data operations, and benchmarking platforms.

Leads North American client experience strategy, service governance, executive relationship management, escalations, and cross-functional improvement initiatives. Oversees service quality, client feedback, reporting, retention, expansion opportunities, and strategic account engagement. Partners with Sales, Account Management, Product, Technology, Operations, and global Client Experience teams while developing team capabilities and ensuring consistent, high-quality experiences across complex B2B financial data services.

Leads requirements discovery, stakeholder alignment, data analysis, workstream planning, governance, testing coordination, and cutover readiness for complex data transformation programs. Coordinates teams across data management, engineering, operations, testing, and client stakeholders while maintaining requirements traceability, RAID and RAG reporting, dependency management, data validation, and delivery quality.

Design and maintain scalable financial data models on Databricks using Delta Lake and Lakehouse architecture. Profile and validate index, pricing, reference, ESG, and research datasets; identify data-quality and schema issues; define source-to-target mappings; and collaborate with Data Engineering on ETL/ELT implementation. Use Unity Catalog for governance and lineage, document data structures and rules, test models before production, and update them as provider schemas change.

Manage client relationships and service performance for financial data products. Monitor and troubleshoot data feeds, resolve queries and escalations, maintain KPI-aligned service delivery, document issues, and provide product support. Conduct client training, demonstrations, and service reviews while collaborating with operations, sales, and account management teams. The role requires financial data experience, analytical skills, Excel proficiency, and familiarity with financial databases, equity and fixed income indices, and large datasets.

Own the technical pre-sales lifecycle for complex enterprise investment data and intelligence solutions. Lead client discovery, solution architecture, demonstrations, proof-of-concepts, RFP responses, executive presentations, and technical scoping. Advise investment, technology, risk, and operations leaders across EMEA, translate complex data challenges into enterprise architectures, and ensure effective handover to implementation teams. Collaborate with Sales, Product, Engineering, Marketing, and Delivery while providing market and product feedback.

Develop and operate Microsoft Fabric data platforms supporting internal Power BI reporting. Build dataflows, pipelines, lakehouses, API integrations, semantic models, and DAX measures. Improve ingestion reliability, security, data quality, alerting, deployment practices, documentation, and pipeline architecture. Migrate legacy solutions to shared layered components and help introduce SQL, Python, and AI-assisted development while maintaining production systems.

Monitor and investigate late inbound data and processing delays, identify root causes, coordinate remediation with external data partners and internal teams, and uphold data quality and SLA commitments. Support escalations, client communications, database fixes, and sustainable solutions for recurring issues. The role requires analytical problem-solving, adaptability to AI-enabled tools and automation, rapid learning, and effective stakeholder communication.

Leads regional EDM managed services delivery, operational performance, service quality, incident governance, data-quality oversight, audit readiness, client escalations, capacity planning, and team effectiveness. Maintains procedures and controls, coordinates follow-the-sun operations and handovers, supports continuous improvement, and mentors colleagues. Uses performance metrics, data analysis, Python, and market datasets to guide governance, prioritization, service decisions, and efficiency initiatives.

Build and lead Rimes’ global Sales Engineering organization across North America, EMEA, and APJ. Define its operating model, methodology, playbooks, structure, and leadership bench while remaining hands-on in strategic technical sales engagements. Lead discovery, architecture, demonstrations, proofs of concept, executive discussions, and platform adoption initiatives involving modern cloud data platforms and AI. Partner across Sales, Product, Engineering, Marketing, Customer Success, and Operations to drive pipeline progression, consumption growth, revenue, and client value.

Lead infrastructure and cloud projects across Microsoft Azure, on-premise, and VMware environments. Make architectural decisions, build scalable and secure platforms, optimize enterprise infrastructure, lead complex incident response, and perform root cause analysis. Collaborate with development and data teams, support SQL and Azure data platforms, manage Infrastructure as Code, and track delivery through Jira and Tempo. The role also contributes to automation, AI-assisted operations, and hybrid infrastructure modernization.

Own client-facing implementation projects from mobilization through production deployment. Responsibilities include project planning, governance, scope and change control, risk and issue management, stakeholder communication, delivery coordination, UAT, deployment readiness, and transition to steady-state operations. The role coordinates cross-functional teams, maintains project documentation and status reporting, manages client expectations, and applies AI-enabled tools to improve project management efficiency.

Sell Rimes' enterprise investment data SaaS: prospect and qualify new logos, expand accounts, coordinate enterprise deal execution, prepare client materials, maintain CRM hygiene, and report pipeline and forecasts.

Prospect and qualify new-logo opportunities, grow and support existing accounts, coordinate enterprise deal execution, create client-facing materials, and maintain CRM hygiene and sales reporting to meet quota.

Senior pre-sales role owning end-to-end technical sales for enterprise investment data managed services and analytics. Lead discovery, design enterprise data architectures, deliver tailored demos and proof-of-concepts, shape RFP/RFI narratives, and ensure smooth handover to delivery while advising C-suite and investment data stakeholders across Asia‑Pacific.

Support EDM change and onboarding delivery for clients: follow change governance, complete impact assessments, maintain runbooks, triage low-to-mid complexity changes, assist RCAs and client communications, and develop technical skills (including Python and Rimes tools) while transitioning changes into BAU operations.

Design, build and operate scalable Databricks/PySpark data pipelines to ingest, transform and validate financial vendor data into production-ready datasets, partnering with product and client teams to meet quality and timeline requirements.