Sr BI Developer with Revenue Accounting Exp
Posted 1 day ago by Cyma Systems Inc
Negotiable
Undetermined
Remote
Remote
Summary: The Sr BI Engineer role focuses on leveraging AWS tools, particularly QuickSight and Redshift, to deliver data-driven insights and solutions for revenue accounting. The position requires strong technical expertise and customer engagement skills to translate complex data architectures into actionable business narratives. The candidate will be responsible for end-to-end customer experience, from onboarding to ongoing support, while ensuring compliance with revenue recognition principles. This role demands a blend of technical acumen and the ability to communicate effectively with finance and executive stakeholders.
Key Responsibilities:
- 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.
- Translate complex technical architectures into business-friendly narratives for C-suite and finance leadership audiences.
- Proactively identify customer pain points and recommend scalable solutions.
- Own the end-to-end customer experience from onboarding and implementation to ongoing support.
- Design, build, and maintain enterprise-grade Amazon QuickSight dashboards and reports.
- Architect and optimize Amazon Redshift data warehouses.
- Develop complex SQL transformations and data models for revenue reporting pipelines.
- Implement QuickSight SPICE strategies, row-level security, and embedded analytics.
- Troubleshoot and resolve performance bottlenecks across the full data stack.
- Leverage a broad AWS toolkit to build robust, scalable pipelines.
- Ensure data security, governance, and compliance best practices are followed.
- Participate in architecture reviews and contribute to cloud infrastructure decisions.
- Apply understanding of ASC 606 / IFRS 15 revenue recognition principles to data modelling and reporting.
- Work closely with Revenue, Finance, and Accounting teams to ensure dashboards reflect business metrics.
- Identify data quality issues and drive resolution with upstream data owners.
Key Skills:
- 10+ years of experience in data engineering, BI engineering, or analytics engineering roles.
- Expert-level proficiency in Amazon QuickSight and Redshift.
- Strong SQL skills including window functions, CTEs, and performance optimization.
- Solid hands-on experience with the broader AWS ecosystem.
- Strong domain expertise in Revenue Accounting and knowledge of ASC 606/IFRS 15.
- Proven track record in customer-facing roles and presenting to senior stakeholders.
- Exceptional verbal and written communication skills.
- Strong problem-solving mindset with a bias for action and ownership.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title:Sr BI Engineer
Location: Remote
Mandatory Skills - Quicksight + Redshift + AWS
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 modelling 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
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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
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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
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