Berkley Technology Services · 8 hours ago
Sr. Data Architect
Berkley Technology Services (BTS) is a technology solution provider for W. R. Berkley Corporation, a Fortune 500 insurance company. The Sr. Data Architect will design and implement innovative data solutions, bridging business and technical teams, while setting standards for data architecture and mentoring future data experts.
Information TechnologyProject ManagementSoftware
Responsibilities
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
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
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
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
Participate in the architecture review process
Rationalize technology and tool recommendations
Advocate for patterns and standards, especially in Infrastructure, Data, and Security
Engage in the architecture community through forums, standards development, and documentation
Build relationships with business and technical teams and mentor less experienced developers
Qualification
Required
Bachelor's degree from four-year college or university in computer science, engineering, business, or other related field or equivalent work experience
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
Company
Berkley Technology Services
Berkley Technology Services offers networking, software development, UI/UX design, project management and IT shared services.