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Acadia Insurance (a Berkley Company) · 6 hours ago

Data Architect

DE, Wilmington

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

Berkley Technology Services (BTS) is a dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. The Data Architect role involves designing and implementing innovative solutions that enhance business operations and data engineering, while collaborating with various teams to create comprehensive strategies and standards.

Commercial InsuranceInsurance

No H1B

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

Data ArchitectureData EngineeringCloud PlatformsData Integration ToolsData Visualization ToolsScripting LanguagesAI ExperienceAgile MethodologiesCommunication SkillsProblem Solving

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