(Data) Architect

Reposted 21 Days Ago
Be an Early Applicant
Amsterdam, NLD
In-Office
100K-167K Annually
Expert/Leader
Information Technology • Legal Tech • Analytics
The Role
Design, govern, and evolve the product units end-to-end data and analytics architecture. Establish standards and guardrails for ingestion, transformation, storage, and consumption; drive platform scalability, cost control, reliability, and remediation of technical debt; align with enterprise architecture; evaluate emerging data and AI technologies; mentor senior engineers and guide platform components into shared infrastructure.
Summary Generated by Built In

(Data) Architect

About the Business:

LexisNexis 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 LexisNexis Risk Solutions, please visit:
https://risk.lexisnexis.com.

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

TECHNICAL SKILLS:
  • 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 accessible by tram, metro, and bus. From Sloterdijk station, the travel time to Amsterdam Central Station is just 5 minutes.

Breakfast or lunch at the office? No problem — we have a very extensive company cafeteria and coffee corner.

There is also the option to make use of a fully renovated in‑house fitness facility.

Do you recognize yourself in this profile and are you looking for an exciting challenge with an international, data‑driven organization? Then we look forward to receiving your application!

Nextens is part of LexisNexis Risk Solutions within the RELX organization. In the Netherlands, LexisNexis Risk Solutions employs over 200 professionals who work on strong brands and on the continued development of the company as a provider of digital products that support and enhance our customers’ work processes.

Primary Location Base Pay Range: NLD Amsterdam (Radarweg) €100,400 - €167,300.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

Skills Required

  • 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
  • Advanced degree
  • Deep expertise in distributed systems architecture, including event-driven designs, scalability, fault tolerance, consistency trade-offs, and observability
  • 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
  • Strong programming background in C#, Python, and SQL
  • Proven experience designing cloud-native data platforms, including security, identity, networking, IaC, and operational resilience
  • Ownership of data governance architecture including metadata, lineage, access control, privacy, and regulatory compliance
  • Experience with AI platform enablement, AI evaluation frameworks, agentic architectures, and LLMOps

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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