Business Intelligence Engineer

BI Engineer / Data Engineer Mandatory Skills - QuickSight + Redshift + AWS Note – The client is seeking domain expertise in Revenue Accounting. Therefore, we require a summary outlining relevant experience in this area. Customer Engagement & Advisory • Serve as the primary technical point of contact for customers, building trusted relationships with finance, revenue, and data stakeholders • Lead customer discovery sessions, requirements workshops, and solution presentations with confidence and clarity • Translate complex technical architectures into business-friendly narratives for C-suite and finance leadership audiences • Proactively identify customer pain points and recommend scalable, best-in-class solutions • Own the end-to-end customer experience — from onboarding and implementation to ongoing support and feature adoption Technical Delivery — QuickSight & Redshift • Design, build, and maintain enterprise-grade Amazon QuickSight dashboards and reports tailored to revenue accounting use cases (ARR, MRR, revenue recognition, deferred revenue, etc.) • Architect and optimize Amazon Redshift data warehouses including schema design, query tuning, distribution/sort keys, and workload management • Develop complex SQL transformations and data models to support revenue reporting pipelines • Implement QuickSight SPICE strategies, row-level security (RLS), calculated fields, and embedded analytics • Troubleshoot and resolve performance bottlenecks across the full data stack AWS Ecosystem • Leverage a broad AWS toolkit including S3, Glue, Lambda, Step Functions, , IAM, and CloudFormation/CDK to build robust, scalable pipelines • Ensure data security, governance, and compliance best practices are followed across all AWS services • Participate in architecture reviews and contribute to cloud infrastructure decisions Revenue Accounting Domain • Apply deep understanding of ASC 606 / IFRS 15 revenue recognition principles to data modeling and reporting requirements • Work closely with Revenue, Finance, and Accounting teams to ensure dashboards accurately reflect business metrics such as recognized revenue, deferred revenue, SSP allocation, contract modifications, and billings • Identify data quality issues with a revenue accounting lens and drive resolution with upstream data owners Required Qualifications • 10+ years of experience in a data engineering, BI engineering, or analytics engineering role • Expert-level proficiency in Amazon QuickSight — dashboards, SPICE, calculated fields, RLS, themes, and embedded analytics • Expert-level proficiency in Amazon Redshift — data modeling, performance tuning, Redshift Spectrum, and RA3 architecture • Strong SQL skills — window functions, CTEs, complex joins, and performance optimization • Solid hands-on experience with the broader AWS ecosystem (S3, Glue, Lambda, Athena, IAM, etc.) • Strong domain expertise in Revenue Accounting — working knowledge of ASC 606/IFRS 15, revenue recognition workflows, and finance reporting • Proven track record in customer-facing or client-delivery roles — comfortable presenting to and influencing senior business and finance stakeholders • Exceptional verbal and written communication skills — able to tailor messaging to both technical and non-technical audiences • Strong problem-solving mindset with a bias for action and ownership Preferred Qualifications • Experience with DBT (data build tool) for data transformation and modeling • Familiarity with ERP systems such as Salesforce & SAP in the context of revenue data flows • AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect) • Experience with QuickSight Embedded Analytics and SDK integration • Exposure to data governance frameworks and tools (e.g., AWS Lake Formation, Collibra) • Background in SaaS, FinTech, or subscription-based business models