What are the responsibilities and job description for the Principal Data Architect position at Critical River, Inc.?
Job Details
Hi All,
Greetings from Criticalriver..!!
Please find the below details of the open position for CR fulltime
Title: Principal Data Architect (Snowflake Focus, 10 Years Experience)
Location: Pleasanton CA (Hybrid)
Duration: Fulltime with CR
Years of Experience: 10-15 Years
Job Description: We are seeking a seasoned Principal Data Architect with a proven track record in architecting and managing large-scale data platforms, specifically leveraging Snowflake. This role demands deep expertise in complex database migrations, cost optimization, and identifying strategic business service opportunities through data insights. You will be a key leader in driving our data-centric initiatives, ensuring scalability, efficiency, and alignment with our business objectives.
Strategic Data Architecture & Migration Leadership:
- Develop and execute comprehensive data strategies, with a primary focus
- on Snowflake, to support enterprise-wide data initiatives.
- Lead complex, large-scale database migrations to and from Snowflake,
- ensuring minimal disruption and data integrity.
- Design and implement robust data migration strategies, including data
- validation, performance tuning, and cutover planning.
- Experience with data lake architectures (e.g., AWS S3, Azure Data Lake
- Storage, Google Cloud Storage).
- Proficiency in data visualization and reporting tools such as Power BI and
- Experience with other analytics and big data technologies (e.g., Spark,
- Hadoop, Kafka).
- Experience with Data Lakehouse architecture implementation.
- Experience with real time data processing.
Snowflake Platform Mastery & Optimization:
- Architect and optimize Snowflake data models, data pipelines, and data
- warehousing solutions for high performance and scalability.
- Implement advanced Snowflake features and best practices to maximize
- platform efficiency and minimize operational costs.
- Proactively monitor and optimize Snowflake performance through query
- tuning, data clustering, and resource management.
Cost Optimization & Business Value Creation:
- Develop and implement strategies to optimize Snowflake costs, including
- resource utilization, storage management, and query optimization.
- Identify and leverage data insights to drive business service opportunities,
- improve operational efficiency, and generate revenue.
- Translate business requirements into actionable data architecture solutions
- that deliver measurable business value.
Data Governance & Security:
- Establish and enforce data governance policies and standards, ensuring
- data quality, consistency, and compliance with regulatory requirements.
- Implement robust data security measures within Snowflake and across the
- data ecosystem, protecting sensitive data from unauthorized access.
- Design and implement data lineage and metadata management strategies.
Cloud Data Platform Leadership:
- Design and implement scalable and resilient cloud-based data
- architectures, leveraging Snowflake's cloud-native capabilities.
- Integrate Snowflake with other cloud services and data platforms to create a
- cohesive and efficient data ecosystem.
- Implement infrastructure as code (IaC) to streamline deployment and
