Job Description

6 month Contract - Fully Remote

At Cloud Bridge, we are one of the fastest-growing and most dynamic AWS Premier partners, transforming how businesses leverage AWS cloud services. We specialise in cloud consultancy, managed services, cloud governance, FinOps, and AI/ML to help organisations unlock the full potential of AWS.

Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I, we’re expanding globally with new offices in Australia, South Africa, Singapore and Dubai, a strong presence in the Philippines, and our HQ in the UK.

We are seeking an experienced Senior AWS Cloud Data & BI Architect to lead the implementation of a cloud-based data ingestion, transformation, analytics, and business intelligence reporting platform for our Finance team.

This project will build a scalable, secure, and automated data ecosystem leveraging services such as AWS Lake Formation, AWS Glue, Amazon S3, Amazon Athena, and Amazon QuickSight (also known as Quick Suite), with infrastructure managed via Terraform

The successful contractor will play a key role in designing, implementing, and optimizing a modern financial data platform that enables accurate reporting, analytics, and strategic insights.

Key Responsibilities

• Design and implement a secure, scalable AWS-based data lake and analytics architecture

• Develop automated data ingestion pipelines from financial and operational systems

• Build ETL/ELT workflows using AWS Glue and related services

• Configure and manage data governance and access controls using AWS Lake Formation

• Optimize storage and query performance in Amazon S3 and Amazon Athena

• Develop dashboards and financial BI reports in Amazon QuickSight

• Apply infrastructure-as-code principles using Terraform

• Ensure data quality, integrity, and consistency across financial datasets

• Translate finance team requirements into technical data models and reporting solutions

• Collaborate with finance stakeholders to define KPIs, metrics, and reporting structures

• Implement best practices for security, cost optimization, and performance tuning
  

Technical Expertise

• Strong hands-on experience with:

  • Terraform (infrastructure as code)

  • AWS Lake Formation

  • AWS Glue (ETL development)

  • Amazon S3 (data lake design and management)

  • Amazon Athena (query optimization and performance tuning)

  • Amazon QuickSight (dashboarding, dataset modelling, row-level security)

• Experience designing and implementing data lakes and analytics architectures in AWS

• Solid DBA skills (data modelling, indexing, query optimization, schema design)

• Strong SQL expertise

• Experience with data transformation, validation, and pipeline orchestration

• Background in data analysis and statistical analysis
  

Business Intelligence & Analysis

• Advanced proficiency in Microsoft Excel (financial modelling, pivot tables, Power Query, complex formulas)

• Experience with BI reporting tools (e.g., QuickSight and other enterprise BI platforms)

• Ability to design executive-level dashboards and operational reports

• Strong understanding of KPIs, metrics, and performance measurement frameworks

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Bonus Skills & Experiecnce

Experience integrating or working with the following platforms is highly desirable:

• Xero (financial accounting system integration and reporting)

• HubSpot (CRM data integration for revenue reporting)

• Harvest (time and project cost tracking integration)

• Airtable (operational data integration and workflow support)

Experience building ingestion pipelines from SaaS platforms via APIs, webhooks, or third-party connectors is a strong advantage

Finance Domain Knowledge (Preferred)

Experience working with financial datasets and reporting environments, including:

• Understanding of financial reporting structures, such as revenue, cost of sales, gross margin, and operating expenses

• Experience building or supporting financial reporting models (P&L, revenue reporting, cost analysis)

• Ability to structure and model financial KPIs and metrics used in executive reporting

• Familiarity with budget vs. actual and variance analysis reporting structures

• Experience designing data models that support financial reporting hierarchies and time-based analysis (monthly, quarterly, YTD)

Practical exposure to financial system data structures, such as:

• General ledger exports

• Billing and revenue data

• Cost and project accounting data

• CRM revenue pipeline data

Experience working with Finance stakeholders to translate reporting requirements into technical datasets and dashboards.

Understanding of data accuracy, reconciliation, and auditability requirements in financial reporting environments.

Qualifications

• 8+ years of experience in data engineering, cloud data platforms, or BI solutions

• Proven experience delivering end-to-end AWS data solutions

• Strong analytical thinking and problem-solving skills

• Excellent stakeholder communication skills

• Ability to work independently in a contract role and deliver within tight timelines

Deliverables
By the end of the 3-month engagement, the contractor will have:

• Implemented a production-ready AWS-based financial data platform

• Delivered automated ingestion and transformation pipelines (including SaaS integrations where applicable)

• Established governed, secure data access controls

• Developed validated financial dashboards and BI reporting for the Finance team

• Documented architecture, processes, and operational procedures