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Cloud Data Warehouse Solutions Expert

2 months ago

King of Prussia, Pennsylvania, United States Worldwide Insurance Services Full time
Job Description

Overview

The Senior Data Warehouse Developer will oversee the design, development, and maintenance of data warehouse solutions for Worldwide Insurance Services. This role requires technical leadership and collaboration with cross-functional teams to architect, design, develop, and maintain scalable data warehouse solutions using Snowflake and related technologies.

Key Responsibilities

  • Design and Architecture
    • Lead the design and architecture of Worldwide Insurance Services' data warehousing solutions, leveraging expertise in data architecture principles and best practices.
    • Collaborate with stakeholders to define data models, schemas, and architecture patterns that optimize data storage, accessibility, and performance.
  • Data Engineering
    • Manage the development of robust ETL and ELT processes for ingesting, processing, and transforming data from diverse sources into the data warehouse.
    • Ensure the reliability, scalability, and efficiency of ETL pipelines, employing technologies and tools such as Snowflake, Rivery, DBT, and SQL.
  • Performance Optimization
    • Optimize the performance of the data warehouse environment, identifying and resolving bottlenecks, and fine-tuning query performance.
  • Data Governance
    • Establish data governance policies, oversee data quality initiatives, and implement data validation and cleansing processes to ensure the accuracy, completeness, and consistency of data stored in the data warehouse.
  • Capacity Planning
    • Assess the scalability requirements of the data warehouse infrastructure and develop capacity planning strategies to accommodate future growth and expansion.
    • Evaluate hardware and software options, design scalable architectures, and implement solutions that support increasing data volumes and user loads.
  • Security and Compliance
    • Work closely with security teams to implement access controls, encryption mechanisms, and auditing procedures to protect sensitive data stored in the data warehouse.
    • Ensure compliance with regulatory requirements such as GDPR, HIPAA, or SOC 2, implementing policies and procedures to safeguard data privacy and integrity.
  • Leadership and Collaboration
    • Provide leadership, guidance, and mentorship to data engineers, developers, and other team members.
    • Foster a culture of collaboration, innovation, and continuous learning, empowering team members to grow their skills and expertise in data warehousing technologies and practices.
  • Stakeholder Management
    • Partner with stakeholders to understand their data requirements, prioritize initiatives, and deliver solutions that meet business needs and objectives.
  • Technology Evaluation
    • Evaluate emerging technologies and trends in data warehousing, assessing their suitability for Worldwide Insurance Services' data warehouse environment and recommending adoption strategies that align with long-term goals and objectives.
  • Continuous Improvement
    • Drive a culture of continuous improvement and innovation, seeking opportunities to optimize processes, streamline workflows, and introduce innovative solutions that enhance the performance, reliability, and agility of the data warehouse environment.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 4 years of experience in data warehouse development and administration for on-premise and cloud data warehouse solutions.
  • Extensive experience with Microsoft SQL Server, including proficiency in T-SQL scripting, stored procedures, and performance tuning.
  • Hands-on experience with SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS).
  • Proficiency in Snowflake Data Warehouse, including designing data models, writing SQL queries, and optimizing performance.
  • Experience with modern data transformation tools such as DBT (Data Build Tool) for cloud transformation.
  • Experience training and transitioning on-premises resources to new cloud technologies.
  • Proficient in using Rivery as an extraction tool for data ingestion and integration.
  • Familiarity with cloud computing platforms such as AWS, Azure, or GCP.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.