Data Architect @ Greater New York Insurance Companies | Jobright.ai
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Greater New York Insurance Companies · 10 hours ago

Data Architect

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Responsibilities

Data Architecture Design: As a Data Architect, you will be responsible for developing and maintaining our data architecture strategy. You will collaborate closely with various teams to ensure that our data architecture supports our business goals and leverages existing data from various applications to provide meaningful insights and also industry standards, enabling us to excel in the market.
Data Modeling: You will create and optimize data models for transactional, operational, and analytical systems. Your expertise in data modeling will ensure data consistency and reliability, enabling flawless data analysis and reporting.
Data Integration: Designing and implementing end-to-end data integration solutions will be a key aspect of your role. You will consolidate data from various sources into a cohesive and accessible data environment, using the latest Azure modern data stack technologies.
Data Governance: You will establish and enforce data governance policies, standards, and procedures to ensure data quality, security, and compliance with regulatory requirements. Your attention to detail and dedication to data integrity will be crucial in maintaining a world-class data environment.
Technology Evaluation: Constantly assessing and recommending new data technologies and tools will be part of your responsibilities. Your expertise will enhance our data infrastructure and capabilities, ensuring that we stay ahead of the curve in the rapidly evolving field of data architecture.
Collaboration: Work closely with key stakeholders, including business leaders, product teams, and technical teams, to ensure the data architecture supports business objectives. By understanding their data needs and providing technical guidance, you will ensure the seamless integration of data solutions throughout the organization.
Performance Optimization: Monitoring and optimizing data architecture performance will be essential. You will identify and resolve any issues to ensure efficient data processing and storage, allowing us to make data-driven decisions without any bottlenecks.
Data Quality and Integrity: Implement processes to ensure data accuracy, quality, and integrity, and address issues related to data redundancy, inconsistencies, and performance bottlenecks.
Documentation: Maintaining comprehensive documentation of our data architecture, models, and processes will be a crucial part of your role. This documentation will serve as a valuable reference and training resource for our team.
Continuous Improvement: Monitor industry trends and evolving technologies, and continuously refine the data architecture and strategy to enhance capabilities.
Mentorship: Provide guidance and mentorship to junior data professionals and other team members.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ArchitectureData ModelingData IntegrationData GovernanceAzure DatabricksAzure Data LakeAzure Data FactoryAzure SQL DatabaseAWS S3AWS EC2AWS EMRAWS RDSAWS RedshiftETL processesSQLMicrosoft CertificationsPower AutomatePower BIDAXWeb ServicesREST APIsJSONPythonRMachine LearningAI IntegrationAgile MethodologiesManagement ExperienceDocumentation Skills

Required

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field; or equivalent training and/or experience required.
Minimum 10 years of experience in data architecture, data engineering, or a related domain required.
Minimum of 3 years of experience as a Data Architect required.
Expertise in data modeling, database design, and data warehousing.
Extensive experience with Azure Databricks, Azure Data Lake, Azure Data Factory, Azure SQL Database / Azure SQL Managed Instance, Logic Apps / SSIS.
Proficiency in AWS cloud services: S3, EC2, EMR, RDS, Redshift.
Power Automate / Power BI / DAX.
Proficiency in Web Services / REST APIs / JSON.
Strong knowledge of ETL processes, data integration techniques, and data governance frameworks.
Advanced skills in SQL for database management and data manipulation.
Proficiency in programming languages such as Python, SQL, or R.
Excellent problem solving and troubleshooting skills.
Process-oriented with great documentation skills.
Excellent oral and written communication skills with a keen sense of customer service.

Preferred

Extensive experience within the insurance industry is strongly preferred.
Microsoft technical certifications relative to Azure and Data and Analytics.
Experience with or knowledge of Agile Software Development methodologies.
Prior management experience is a plus.
Familiarity with machine learning and AI integration for predictive analytics.

Benefits

Eligibility for an annual discretionary bonus based on performance.

Company

Greater New York Insurance Companies

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Greater New York Insurance Companies are leading providers of middle market property and casualty insurance focusing on commercial real estate, including condominiums, co-op apartment buildings, office buildings, restaurants, light manufacturing, and other small to mid-size commercial establishments.

Funding

Current Stage
Growth Stage

Leadership Team

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Chris McNulty
EVP, CFO & Treasurer
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Company data provided by crunchbase
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