Lead Data & AI Solutions Architect – Government & Infrastructure sector, focusing on pre‑sales solutioning and delivery of cloud data and AI solutions
Responsibilities
Serve as a key Lead Data & AI Solutions Architect – Government & Infrastructure sector, focusing on pre‑sales solutioning and the successful delivery of cloud data and AI solutions
Collaborate closely with sales and account teams to thoroughly understand client requirements and tailor solutions accordingly
Lead the Cloud Data Architecture and Delivery teams, ensuring they possess the necessary skills and capabilities to deliver innovative, high‑quality solutions that meet sector‑specific needs
Engage in client meetings and workshops to gather insights, refine solution offerings, and present compelling business cases that demonstrate the return on investment (ROI) of our solutions
Develop and present tailored Go‑To‑Market strategies and solutions that align with best practices in the Government and Infrastructure sector, particularly in the context of AI and data analytics
Freelance AWS Data Platform Engineer responsible for building and maintaining containerized data platforms, shaping infrastructure, and ensuring scalable, secure solutions.
Locations (3)
Mechelen, Flanders, Belgium
Leuven, Flanders, Belgium
Gent, Belgium
Responsibilities
Build, manage, and continuously improve containerized data platforms with Kubernetes and AWS
Shape infrastructure and ensure industrialization for future-proof scalability
Partner with Data Architect to guide technical direction
Balance cost, performance, and maintainability in design
Implement production-ready solutions including deployment automation, monitoring, and alerting
Design and lead end‑to‑end Snowflake solutions, provide technical leadership, manage delivery teams, and serve as trusted advisor to customers.
Compensation
Pay range: $128,000 - $193,200 depending on experience and skill set
Annual bonus target of 10% subject to terms and conditions of plan
Responsibilities
Manage team delivery against the Statement of Work
Perform hands‑on development in Snowflake, SQL, dbt, python
Design and lead implementation of end‑to‑end Snowflake architectures
Ensure project teams follow approved architecture, security, privacy, governance, source‑control, testing, deployment, and documentation standards
Review solution components and deliverables for technical accuracy, data quality, maintainability, performance, and alignment with customer requirements
Principal data architects play a key part in developing modern data architecture approaches to meet business objectives and provide end-to-end data solutions. They lead design, architecture of initiatives, and mentor delivery teams.
Responsibilities
Lead complex data programs, navigating architectural concerns and enabling delivery teams.
Provide client-facing technical leadership and guidance on data engineering, machine learning, and Agentic AI.
Interact with client counterparts from enterprise architecture groups to lead delivery and sign-off of architectural decisions.
Communicate trade-offs of different technology choices to stakeholders.
Map business outcomes with specific concrete business KPIs aligned with OKRs and KRAs.
Lead the enterprise information architecture strategy, design canonical data models, and drive governance across product, agronomy, manufacturing, commercial, and digital domains.
Compensation
$165,000—$206,000 USD
Responsibilities
Own enterprise information architecture strategy and standards
Design canonical models, master data relationships, and cross-domain integration patterns
Define semantic standards for observations, results, recommendations, outcomes, and evidence
Lead logical and physical data modeling efforts within Databricks Lakehouse
Establish metadata, lineage, versioning, and traceability frameworks