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Technical Architect - Professional Services

Remote (EST timezone) • Remote • Full-time Contract • Req ID: GDBI-6F8H0C4E

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Technical Architect - Professional Services

Location: Remote (EST preferred) • Type: Full-time / Contract • Status: Open
About Global Data and BI Global Data and BI is hiring on a rolling basis for Data, BI & Analytics and ML/AI projects for large corporations. Beyond consulting services, we build production-ready business platforms and SaaS applications that leverage modern cloud technologies, data analytics, and AI capabilities. We deliver enterprise-grade solutions with certified engineers in AWS and Microsoft Azure / Power BI technologies. Our focus includes transformation projects in the financial industry, custom platform development, and our proprietary Noème suite of products. Our mission is to transform the corporate data journey from complexity to strategic clarity, ensuring data is not just collected, but leveraged to drive smarter decisions, stronger businesses, and lasting impact.

Summary

As an early Technical Architect on Global Data and BI's Professional Services team, you will play a key role in designing and implementing technical solutions that drive successful customer engagements, particularly for large-scale enterprise deployments of our Noème products and custom client platforms. Your work will help shape best practices for how we support complex customer needs across data engineering, analytics, and AI/ML implementations, ensuring our solutions are production-ready and scalable.

This is a highly cross-functional role, collaborating closely with customers as well as GDBI's Product, Engineering, Data Science, and Sales teams to deliver impactful data and AI solutions that transform business operations.

What you'll do (roles & responsibilities)

  • Lead the hands-on technical development aspects of customer engagements, including understanding customer requirements, designing technical architectures, and building or supporting the implementation of data platforms and AI solutions
  • Work closely with client stakeholders (C-suite, IT leaders, business units) to gather business and technical requirements and translate them into well-architected solutions that maximize the value of Noème products and custom platforms within their technical ecosystem
  • Participate in technical design sessions, helping to architect and document solutions that align with client objectives and identifying gaps between their current and desired end states for data maturity
  • Lead and contribute to hands-on development of customer integrations, data pipelines, automation workflows, ML model deployments, and data migration strategies as part of a Noème or custom platform implementation
  • Design and implement enterprise data architectures using Azure and/or AWS cloud services, including data lakes, data warehouses, real-time streaming, and analytics platforms
  • Build production-quality integrations between Noème products and client systems (ERP, CRM, data warehouses, business applications)
  • Develop data transformation pipelines, ETL/ELT workflows, and automation solutions using modern data stack technologies
  • Identify opportunities to enhance and expand the use of Noème.AI capabilities and data analytics within customer organizations
  • Collaborate with GDBI's Product, Engineering, and Data Science teams to address technical challenges, provide customer feedback, and influence product roadmap
  • Assist in navigating the technical complexities of large-scale enterprise deployments to ensure successful adoption, including performance optimization, security, and compliance
  • Contribute to the growth and development of the Professional Services team by documenting best practices, creating reusable frameworks, and improving delivery processes
  • Provide technical pre-sales support including architecture reviews, technical discovery, and proof-of-concept development
  • Ensure solutions meet enterprise requirements for security, governance, scalability, and compliance (especially for financial services clients)
  • Mentor junior team members and contribute to technical knowledge sharing across the organization

What you should have (Must-Haves)

  • Bachelor's degree required (master's an asset) in Computer Science, Data Engineering, Software Engineering, or equivalent work experience
  • Minimum of 4 years experience in technical consulting, solutions architecture, forward deployed engineering, or similar customer-facing technical role, preferably in a SaaS or enterprise software environment
  • Proficiency in at least two programming languages such as Python, Java, JavaScript/Node.js, SQL, Scala, or similar, with comfort writing production-quality code in customer-facing or internal engineering contexts
  • Hands-on experience with cloud platforms (Azure and/or AWS) including services for data storage, processing, analytics, and ML
  • Strong experience with APIs, data integration, and ETL/ELT processes
  • Experience with relational and NoSQL databases, data modeling, and query optimization
  • Proven track record of delivering customer value by translating technical challenges into practical, scalable solutions
  • Strong written and verbal communication skills, with ability to engage both technical and business audiences effectively at all levels (from developers to C-suite)
  • Experience working with enterprise clients and understanding of enterprise architecture patterns
  • Ability to work independently and manage multiple concurrent customer engagements
  • Strong problem-solving skills and ability to debug complex technical issues
  • Understanding of software development lifecycle and DevOps practices

Nice-to-Haves

  • Experience working in SaaS professional services, preferably in a startup or scale-up environment
  • Background in developing technical frameworks and best practices for data engineering or analytics implementations
  • Strong history of collaboration with product and engineering teams, contributing to product roadmap and feature development
  • Experience in pre-sales technical support including RFP responses, architecture reviews, and POC development
  • Strong track record of successful enterprise customer implementations with measurable business outcomes
  • Experience with Azure Data Factory, Databricks, Synapse Analytics, Power BI, or AWS equivalents (Glue, EMR, Redshift, QuickSight)
  • Knowledge of data governance, security, and compliance requirements in regulated industries (financial services, healthcare)
  • Experience with ML/AI implementation including model deployment, MLOps, and AI workflow automation
  • Familiarity with modern data stack tools (dbt, Airflow, Fivetran, etc.)
  • Experience with Infrastructure as Code (Terraform, Pulumi, ARM templates)
  • Understanding of microservices architecture, containerization (Docker, Kubernetes), and API design
  • Bilingual proficiency in English and French (strong asset for Quebec and Canadian clients)
  • Experience working with financial services clients or in regulated environments
  • Certifications in Azure or AWS (Azure Solutions Architect, AWS Solutions Architect, or equivalent)
  • Experience with Agile/Scrum methodologies and integrating technical delivery into sprint cycles
  • Background in data visualization and analytics dashboard development
  • Strong network in enterprise technology or data/analytics community

Work details

  • Location: Remote (EST timezone preferred for team collaboration)
  • Reporting relationship: You will report to the Director of Professional Services or VP of Customer Success

Compensation

Competitive contract rates or full-time compensation package, adjusted to your local market and country of residence. Compensation is location-based and reflects regional market standards. We benchmark against leading technology companies in your country to ensure competitive, fair pay.

Our commitment to diversity, equity, and inclusion We're committed to employment equity and encourage women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions to apply. We also welcome applications from Latin America countries, as the position is remote.

What happens after you apply

Timeline: We aim to complete our process within 2-3 weeks of application.

Step 1
Apply Submit your application. If you applied before and were not successful, you are welcome to apply again.
Step 2
Initial call (1 hour) If pre-selected, we schedule an initial conversation.
Step 3
Panel interview (1h to 1h30) If shortlisted, you meet 3 experts in your domain.
Step 4
Hiring decision If selected, we send an offer and next steps, otherwise we inform you by email.
If you don't hear back from us after application or the initial call, it means we do not pursue your application.
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