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Data Infrastructure Visionary
1 month ago
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:
- Data Architecture Design: Architect and implement a robust data infrastructure that meets organizational needs, including design data models, storage solutions, and integration strategies.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.