Lead Data Solution Architect

Lensys; Belgique; À distance; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Lensys is seeking a Lead Data Solution Architect to design and implement an enterprise-grade data platform across a unified reference architecture for the public sector. You will define standards, govern data principles, and guide modernization of data exchange with a focus on security, privacy, and interoperability.

The role requires cloud-native expertise, cross-team collaboration, and a strategic mindset to enable data-driven decision making for millions of citizens.

Qualifications

• Experience designing enterprise-scale data platforms for the public sector.
• Proven ability to define standards and a reference architecture.
• Strong collaboration with multi-stakeholder teams and governance.

Responsabilités

• Design and guide the implementation of an enterprise-grade data platform.
• Define foundational data principles, standards, and architectural choices.
• Lead modernization of data exchange, governance, and security posture.
• Collaborate with project teams and ensure alignment with the governance framework.

Connaissances

Big data

Cloud-native

Apache Spark

Kafka

Data governance

TOGAF

Agile

API Gateway

Security & Privacy

GDPR

Outils

Snowflake

Databricks

Synapse Analytics

Azure

AWS

GCP

ETL/ELT

APIs

Description du poste

Spearhead the design and implementation of a unified, scalable data platform that will transform public service delivery and data exchange across a region. You will architect the future of data, establishing critical standards and ensuring robust, secure, and privacy-compliant solutions for complex enterprise challenges.

CONTEXT

In an era defined by data, the ability to harness, secure, and exchange information efficiently is paramount for any large-scale organization, especially within the public sector. Our client, a major player in its sector within the Flanders region, is embarking on a monumental journey: to create a cohesive, cutting-edge data ecosystem that serves as the bedrock for all digital services and decision-making for an entire government. Imagine the complexity of unifying disparate data sources from various public entities, modernizing legacy systems, and establishing a single, secure reference architecture. This isn't just a technical challenge; it's a strategic imperative to foster transparency, improve public services, and drive innovation. You will be at the very heart of this transformation, shaping the data landscape for millions, ensuring that data is not just collected, but intelligently utilized, protected, and accessible where it's needed most.

ACTIVITIES

As the Lead Data Solution Architect, your mission is to conceptualize, design, and guide the implementation of an enterprise-grade data platform within a uniform reference architecture. Your responsibilities will span the entire data lifecycle, from defining foundational data principles, standards, and architectural choices to modernizing existing data exchange platforms. You will be the visionary driving the evolution of the data strategy, ensuring that all solutions prioritize scalability, security, privacy, and manageability in a complex, multi-stakeholder environment. This involves close collaboration with various project teams, providing architectural guidance, reviewing designs, and ensuring alignment with the overarching data governance framework. You will evaluate new technologies, advocate for best practices, and play a critical role in fostering a data-driven culture across the organization.

EXPECTED ACHIEVEMENTS

Your leadership will culminate in the establishment of a robust, scalable, and highly secure data platform that significantly enhances data exchange capabilities across the public sector. You will successfully embed a unified data architecture, eliminating silos and promoting data interoperability, which will directly lead to more efficient and impactful public services. Expect to deliver a clear roadmap for data modernization, tangible improvements in data governance and security posture, and a measurable increase in the organization's ability to leverage data for strategic decision-making. Your architectural vision will not only address current challenges but also future-proof the data infrastructure for decades to come, leaving a lasting legacy of innovation and efficiency.

ENVIRONMENT

The environment is characterized by a strong commitment to cloud-native principles, likely leveraging a major public cloud provider (e.g., Azure, AWS, or GCP) for its data infrastructure. Key technologies will include big data processing frameworks (e.g., Apache Spark, Kafka), data warehousing solutions (e.g., Snowflake, Databricks, Synapse Analytics), data lakes, and advanced API Gateway technologies for seamless data integration. Experience with various data modeling techniques, ETL/ELT processes, and real-time data streaming will be crucial. The role demands familiarity with comprehensive data governance tools and methodologies, information security best practices, and privacy regulations (e.g., GDPR). You will operate within an enterprise architecture framework (e.g., TOGAF) and engage with various stakeholders through Agile development practices and robust collaboration tools.