Senior Data Warehouse Architect

2 weeks ago

Noida, Uttar Pradesh, India Clearwater Analytics Full time

Clearwater Analytics: Data Warehouse Manager Role

As the Data Warehouse Manager at Clearwater Analytics, you will play a pivotal role in leading our data warehouse team and driving the design and development of our enterprise data warehouse architecture within the Snowflake environment. Your responsibilities will include designing, implementing, and maintaining our Enterprise data warehouse and Data Pipelines, overseeing the entire end-to-end data warehouse process. This encompasses data acquisition, transformation, creation of scalable data models, and the development of analytics solutions.

Key Responsibilities:

  • Lead the designing, developing, implementing, and sustaining the Enterprise Data Warehouse architecture with a focus on achieving scalability, optimizing performance, and ensuring impeccable data integrity across all of our Snowflake environments.
  • Take a hands-on approach in designing, developing, and supporting low-latency data pipelines, prioritizing data quality, accuracy, reliability, and efficiency.
  • Lead a dynamic team of highly skilled data engineers, serving as a mentor and setting the stage for a collaborative and high-performing culture of innovation and continuous improvement.
  • Oversee the Operations Support for our Data Warehouse and ETL Processes, ensuring smooth functioning and continuous optimization by enhancing SQL Queries, fine-tuning the design structure of the Data Warehouse, and elevating overall performance and query efficiency.
  • Collaborate closely with cross-functional teams, including Enterprise Architects, Business Analysts, Product Owners, and Solution Architects, actively engaging in gathering comprehensive business requirements and translating these requirements into scalable data cloud and Enterprise Data Warehouse (EDW) solutions that precisely align with organizational needs.
  • Play a hands-on role in conducting data modeling, ETL (Extract, Transform, Load) development, and data integration processes across all Snowflake environments.
  • Develop and implement comprehensive data governance policies and procedures to fortify the accuracy, security, and compliance of Snowflake data assets across all environments.
  • Devise and sustain comprehensive data dictionaries, metadata repositories, and documentation to bolster governance and facilitate usage across all Snowflake environments.
  • Remain abreast of the latest industry trends and best practices, actively sharing knowledge and encouraging the team to continuously enhance their skills.
  • Collaborate closely with development teams to optimize the data infrastructure, encompassing data storage, processing, and access mechanisms across all our Snowflake environments.
  • Continuously monitor the performance and usage metrics of Snowflake database and Enterprise Data Warehouse (EDW), conducting frequent performance reviews and implementing targeted optimization efforts.

Requirements:

  • Familiarity with big data, data warehouse architecture, and design principles.
  • Strong understanding of database management systems, data modeling techniques, data profiling, and data cleansing techniques.
  • Expertise in Snowflake architecture, administration, and performance tuning.
  • Experience with Snowflake security configurations and access controls.
  • Knowledge of Snowflake's data sharing and replication features.
  • Proficiency in SQL for data querying, manipulation, and analysis.
  • Experience with ETL (Extract, Transform, Load) tools and processes.
  • Ability to translate business requirements into scalable EDW solutions.
  • Streaming Technologies like AWS Kinesis.

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 12+ years of hands-on experience in data warehousing, ETL development, and data modeling, with a strong track record of designing and implementing scalable Enterprise Data Warehouse (EDW) solutions.
  • 4+ years of extensive hands-on experience with Snowflake, demonstrating expertise in leveraging its capabilities.
  • Proficiency in SQL and deep knowledge of various database management systems (e.g., Snowflake, Azure, Redshift, Teradata, Oracle, SQL Server).
  • Experience utilizing ETL tools and technologies such as SSIS, Talend, Informatica.
  • Expertise in data modeling techniques, with a focus on dimensional modeling and star schema design.
  • Familiarity with data governance principles and adeptness in implementing security best practices.
  • Excellent problem-solving and troubleshooting abilities, coupled with a proven track record of diagnosing and resolving complex database issues.
  • Demonstrated leadership and team management skills, with the ability to lead by example and inspire others to strive for excellence.
  • Experience in the Finance industry will be a significant advantage.

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