NEWPosted 3 hours ago

Job ID: JOB_ID_7174

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

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

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

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

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

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

No GC Visa, Exp 12+ Only, Requires summary outlining relevant experience in Revenue Accounting domain.

Salary: $130,000 – $170,000 per year (Estimated)

Location: Remote

Email: i@heliogic.com

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