Data Architect

W. R. Berkley Corporation
Street
1 week ago
Create job alert

Company Details

Company URL:https://berkleytechnologyservices.com.

Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC’s 60+ operating units across the globe. BTS’s wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.

Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the “What’s Next” in our industry and beyond.

With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry leading technological solutions.

Berkley Technology Services: Right Team, Right Technology, Simple and Secure.

Responsibilities

AData Architectat Berkley Technology Services is a visionary who designs and implements cutting-edge solutions that drive business operations, analytics, and data engineering forward. They are the crucial link between business and technical teams, translating business needs into actionable technical strategies and ensuring transparency for informed decision-making. By collaborating with other architects, they create comprehensive solutions that propel the entire organization.

In this role, you'll set the standards and best practices that shape our data landscape. You'll evaluate top-tier data-centric vendors and products, staying ahead of industry trends and continuously innovating with new patterns and automation.

As a key member of the WRBC Architecture Community, you'll consult on high-impact projects, contribute to the development of standards and best practices, and mentor the next generation of data experts. Your work will drive continuous improvement and ensure WRBC remains at the forefront of data architecture.

Join us and be the architect of our data-driven future!

Key functions include but are not limited to:

Technical Strategy

  • Contribute to strategic planning with recommendations on key initiatives and roadmaps.
  • Provide feedback on 3-5-year data architecture strategy, including technology investments.
  • Develop and maintain a business and technical capability model.
  • Build target and reference architectures for WRB’s multi-year strategy.
  • Stay informed on industry trends and technologies.
  • Create supporting architecture documentation consistently.

Consulting / Guidance

  • Understand BTS and OU/segment data strategies to provide aligned recommendations.
  • Offer consulting and guidance to development and infrastructure teams.
  • Present recommendations clearly to various audiences, emphasizing capability development.

Leadership

  • Build relationships with business partners and technical groups on data strategy.
  • Lead data architecture projects and manage change effectively.
  • Inspire engagement with WRB’s data and technical strategies.

Patterns and Standards Development

  • Identify and address gaps in data development patterns and standards.
  • Research, develop, and promote data design patterns and standards.
  • Evaluate data technologies and tools, including proof-of-concept analysis.
  • Contribute to and socialize a catalog of design patterns and standards.

Governance

  • Participate in the architecture review process.
  • Rationalize technology and tool recommendations.
  • Advocate for patterns and standards, especially in Infrastructure, Data, and Security.

Community of Practice

  • Engage in the architecture community through forums, standards development, and documentation.
  • Build relationships with business and technical teams and mentor less experienced developers.

Qualifications

Required

  • 8+ years progressive engineering experience developing/engineering solutions and leading multiple large-scale data-domain or cross-domain engineering initiatives.
  • 6+ years hands-on experience in multiple (minimum of three) data domains (data engineering, database administration, business intelligence, data science/AI, data modeling, big data, data security, data quality) leading architecture/development initiatives.
  • 2+ years hands-on experience working in large-scale data warehouse/data lake/data lakehouse environments based on the Teradata, Microsoft, Oracle, or IBM platforms or 2+ years working with structured and unstructured data within a cloud-based data environment (Redshift, Data Bricks, Hadoop, Snowflake, Spark, etc.).
  • 2+ years hands-on experience working on public cloud platforms and architectures (Azure, AWS, GCP).
  • 2+ years hands-on experience with virtualization and hyper-convergence approaches (VMWare, Nutanix, etc.).
  • 2+ years hands-on experience with multiple scripting languages (Python, JavaScript, PowerShell, Bash, Go, Ruby, etc.).
  • 2+ years hands-on experience with enterprise-scale data integration tools (Informatica, SSIS, Talend, Kafka, etc.).
  • 2+ years hands-on experience with business intelligence and/or data visualization tools (Tableau, Power BI, etc.).
  • 2+ years working with third party data services.
  • Ability to thrive and produce results with little or no supervision in a fast-paced, entrepreneurial environment.
  • Ability to independently come up with solutions that effectively address business and IT issues through technical analysis, troubleshooting, research, evaluation, and communication.
  • Excellent written and oral communication skills with ability to interact seamlessly at all levels with both technical and business stakeholders.
  • Strong customer service focus and sense of urgency.
  • Ability to quickly adapt and learn modern technologies and systems.
  • Superior problem solving and analytical skills.
  • Ability to create an atmosphere of teamwork and collaboration.
  • Ability to look at the “big picture” and see opportunities for improvement.
  • Ability to break opportunities for improvement down into bite-sized chunks that can be pursued on a project-by-project basis.

Preferred

  • 4+ years working with data solutions that enable analytics and predictive modeling.
  • 3+ years using Agile development methodologies.
  • 2+ years as a Data Architect.
  • Practical experience with AI.
  • Certified in Azure or AWS Cloud architecture.
  • Work history in the financial services or insurance industries.

Additional Company Details

We do not accept any unsolicited resumes from external recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Sponsorship Details

Sponsorship not Offered for this Role.

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect / Data Workstream Lead

Data Architect Manager

Data Architect, Derby

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.