Data Infrastructure Visionary

7 days ago

San Francisco, California, United States Unreal Gigs Full time
Job Title: Data Infrastructure Visionary

We are seeking a highly skilled Data Infrastructure Visionary to join our team at Unreal Gigs. As a key member of our data architecture team, you will be responsible for designing and implementing scalable, high-performance data infrastructure that supports business analytics, data science, and operational reporting.

Key Responsibilities:

  1. Data Architecture Design: Architect and implement a robust data infrastructure that meets organizational needs, including design data models, storage solutions, and integration strategies.
  2. Data Governance and Security: Develop and enforce data governance frameworks and security policies to ensure data accuracy, privacy, and compliance, including establishing data access controls and implementing best practices for data quality management.
  3. Collaboration and Strategy: Work closely with executive leadership, data engineers, and analysts to align the data architecture with the company's strategic goals, define data roadmaps, and plan for future scalability.
  4. Data Storage Optimization: Design and manage data warehousing solutions, such as Snowflake, BigQuery, or Redshift, to facilitate efficient data storage and retrieval, ensuring data systems are optimized for performance and cost-efficiency.
  5. Data Integration and ETL Processes: Develop and oversee ETL pipelines to ensure seamless integration of data from multiple sources, ensuring data flows are consistent and accurate across platforms.
  6. Advanced Analytics Frameworks: Enable advanced analytics by building architecture that supports machine learning and predictive analytics, working closely with data scientists to ensure data is structured for model training and testing.
  7. Documentation and Maintenance: Create comprehensive documentation of data architectures, schemas, and best practices, ensuring clear, up-to-date records that support scalability and team collaboration.

Required Skills and Qualifications:

  • Data Architecture Expertise: Extensive experience in designing and implementing data architectures, including data modeling, data warehousing, and data lakes.
  • Cloud Data Platform Knowledge: Proficiency with cloud data services such as AWS, GCP, or Azure, and hands-on experience with cloud-native storage solutions like BigQuery, Redshift, or Azure SQL Data Warehouse.
  • ETL and Data Integration: Strong understanding of ETL processes, data integration, and data transformation best practices, familiarity with tools such as Apache NiFi, Talend, or Apache Airflow.
  • Data Governance and Security: Expertise in setting up data governance frameworks, data quality standards, and data security policies, skilled at implementing access controls and compliance protocols.
  • Communication and Collaboration: Proven ability to work cross-functionally with data engineers, analysts, and business stakeholders, able to communicate technical concepts clearly to both technical and non-technical audiences.

Educational Requirements:

  • Bachelor's or Master's degree: In Computer Science, Data Management, Information Technology, or a related field, equivalent experience in data architecture and management may be considered.
  • Certifications: In data architecture or cloud data platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly desirable.

Experience Requirements:

  • 5+ years of experience: In data architecture or a related field, with a track record of designing and implementing data frameworks.
  • Familiarity with big data frameworks: Like Apache Hadoop, Spark, or Databricks is a plus.

The salary range for this position is $120,000 - $180,000 per year, depending on location and experience.

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