Data Architect

(Data) Architect

About the Business:

Lexis Nexis Risk Solutions provides customers with solutions and decision‑making tools that combine public and industry‑specific information with advanced technology and analytics to help them evaluate and predict risks and improve operational efficiency.

We use the power of data and advanced analytics to help our customers make better and faster decisions. By making information clearer and more actionable, we ultimately help make communities safer, insurance pricing more accurate, trade more transparent, business decisions simpler, and processes more efficient.

For more information about Lexis Nexis Risk Solutions, please visit:

Taxes are complex. We make them manageable.

At Nextens, we build tax and compliance software that thousands of professionals rely on to stay compliant, work efficiently, and deliver accurate results. Our platform supports around 1 million filings every year, helping organizations navigate a constantly changing fiscal landscape with clarity and confidence.

About Role:

This position is responsible for designing, evolving, and governing the end‑to‑end data architecture of the Product Unit. The Data Architect establishes architectural principles, selects and shapes core data platforms, and ensures consistent implementation across teams. The role combines hands‑on technical leadership with strategic decision‑making, focusing on long‑term platform sustainability rather than short‑term delivery.

Responsibilities:

• Own and evolve the target data and analytics architecture
  , making explicit trade‑offs between scalability, cost, speed, and risk
• Act as the primary architectural authority for data platforms, providing clear direction to engineering and product teams
• Partner with Global and Enterprise Architects to align local data architecture with enterprise standards while protecting business‑unit autonomy where required
• Define architectural standards, reference implementations, and guardrails for data ingestion, transformation, storage, and consumption
• Review and challenge designs, driving architectural consistency without becoming a delivery bottleneck
• Proactively identify architectural risks, technical debt, and scalability limits, and drive remediation plans
• Evaluate emerging data and AI technologies and determine when and where they add real business value
• Guide teams in evolving platform components into shared infrastructure capabilities
• Monitor platform health, performance, reliability, and cost trends, and initiate corrective architectural action
• Serve as a technical mentor and force multiplier for senior engineers and technical leads

QUALIFICATIONS:

• 10+ years of experience in software engineering, data engineering, or data platform architecture
• Proven experience acting as architectural authority for complex, distributed data systems in production
• BS in Engineering, Computer Science, or equivalent experience required; advanced degree preferred

• Deep expertise in distributed systems architecture
  , including event‑driven designs, scalability strategies, fault tolerance, consistency trade‑offs, and system observability
• Strong architectural ownership of data engineering platforms
  , covering batch and streaming pipelines, data modeling, orchestration, schema evolution, and data quality enforcement
• Hands‑on architectural experience with Snowflake, Databricks, and dbt
  , including lakehouse design, ELT patterns, performance tuning, and cost control
• Strong programming background in C#, Python, and SQL
  , with the ability to design and review production‑grade data services, APIs, and pipelines
• Proven experience designing cloud‑native data platforms
  , including security, identity, networking, infrastructure‑as‑code, and operational resilience
• Ownership of data governance architecture
  , including metadata, lineage, access control, privacy, and regulatory compliance
• Experience with AI platform enablement
  , including agentic architectures, AI evaluation frameworks, and LLMOps, is a strong plus

We work in a hybrid way, so it’s good to know the following:

Our office is within walking distance of Amsterdam Sloterdijk (intercity) train station. The location is also easily…