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The Lead Architect will evaluate technology, create best practices, and ensure smooth project deliveries while collaborating with data teams. Requires expertise in GCP and data solutions.

Partner with enterprise customers to design, build, and deploy production-grade AI applications using the Cogentiq platform. Develop integrations, connectors, APIs, and cloud-native backend services; ensure security, scalability, and reliability. Troubleshoot deployments, optimize performance, run technical workshops, and feed deployment learnings back into platform capabilities alongside AI, platform, and product teams.

The Business Analyst acts as a liaison between business teams and technical teams, analyzing data to provide actionable insights and drive performance improvement initiatives.

Lead full-stack design and delivery of web applications, APIs, cloud-native services and AI-enabled features. Implement secure, scalable systems, integrate LLM APIs and RAG patterns, drive CI/CD and DevOps practices, optimize performance, mentor junior engineers, and ensure production readiness and operational excellence.

Lead go-to-market and revenue for the Cogentiq Invoice-to-Cash product: drive new business, manage full sales lifecycle, design commercial models, collaborate cross-functionally, and secure enterprise deals while supporting onboarding and growth.

We are seeking a Full Stack Developer with 6+ years of experience in .NET and React to innovate, build, and maintain technology services addressing complex business problems.

Outbound demand-generation role focused on researching ANZ accounts, prospecting multi-channel to book qualified meetings, supporting sales on opportunity development, delivering initial pitches, assisting RFPs, maintaining CRM, and supporting partner events while working ANZ-aligned hours from Bengaluru.

Senior advisory role to define and scale CPG data foundations: shape multi-year roadmaps, prioritise platform capabilities, guide data acquisition/harmonisation and governance, engage executive stakeholders, and translate complex data/architecture decisions into commercial outcomes.

Lead AWS data architect responsible for designing, building and operationalizing large-scale enterprise data platforms and pipelines on AWS. Re-architects on-premises stores to cloud, mentors engineers, runs client workshops, and delivers proofs-of-concept using Spark, Databricks, Glue, Redshift, Snowflake and related AWS services.

Design and implement data solutions on Azure, optimize data processing frameworks, enforce governance policies, and enable BI reporting while collaborating with teams.