Data Architect/Data Analytics Manager - Randstad USA

job summary:

This individual will lead the Data Insights team in alignment with functional strategy. Spearheads the design, development, and upkeep of data management solutions and reporting methodology. Drives innovative initiatives to transform data interpretation and utilization, setting standards for data-driven decision-making and empowers the team with actionable insights.

QUALIFICATIONS

Any combination of education and experience that would likely provide the required knowledge, skills and abilities is qualifying. A typical way to qualify is:

• Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
  
  
• Proven experience (10years) working as a data architect, data engineer or in a similar role, designing and implementing data architectures and solutions.
  
  
• strong proficiency in data modeling, database design, and SQL, with experience working with relational databases
  
  
• Expertise in data integration technologies and ETL tools (e.g., Informatica, Talend, Apache NiFi).
  
  
• Familiarity with data warehousing concepts, methodologies, and technologies
  
  
• Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform) and knowledge of cloud-based data storage and processing solutions.
  
  
• Knowledge of data governance principles, data security, privacy regulations (e.g., GDPR, CCPA), and compliance requirements.
  
  
• Excellent analytical, problem-solving, and decision-making skills, with the ability to translate business requirements into technical solutions.
  
  
• strong communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders.
  
  
• Principles of employee training, supervision and evaluation.
  
  
• Supervisory techniques, resource allocation, planning and budgeting.
  
  
• Certification in data management or related field (e.g., Certified Data Management Professional, AWS Certified Solutions Architect).
  
  
• Experience with big data technologies and frameworks
  
  
• Knowledge of data visualization tools and techniques
  
  
• Familiarity with agile methodologies and DevOps practices.
  
  
• Experience in industries with complex data environments
  
  
• Uses advanced techniques, theories, and processes to complete work.
  
  
• High school diploma or GED required.
  
  
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field preferred.
  
  
• Valid Driver's License required.

 
location: SAN FRANCISCO, California
job type: Permanent
salary: $161,840 - 190,400 per year
work hours: 8am to 4pm
education: Bachelors
 
responsibilities:

• Design and develop robust, scalable, and flexible data architectures that align with business objectives and support current and future data needs.
  
  
• Define data architecture standards, principles, and best practices to guide the development and implementation of data solutions.
  
  
• Create conceptual, logical, and physical data models that capture business requirements and facilitate efficient data storage, retrieval, and analysis.
  
  
• Implement data modeling techniques to optimize performance, ensure data integrity, and enable data integration across disparate systems and platforms.
  
  
• Establish data governance policies, procedures, and standards to ensure data quality, security, privacy, and compliance with regulatory requirements.
  
  
• Define data management processes for data ingestion, storage, transformation, and dissemination, including data lifecycle management and metadata management.
  
  
• Design and implement data integration solutions to consolidate data from multiple sources, transform it into usable formats, and load it into target systems or data warehouses.
  
  
• Develop and optimize Extract, Transform, Load (ETL) processes to streamline data movement and transformation workflows.
  
  
• Collaborate with business analysts, leadership, business intelligence to understand reporting and analytics requirements and design data structures that support ad-hoc querying, re