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    Sr Data Architect - San Francisco, United States - Insight Global

    Insight Global
    Insight Global San Francisco, United States

    2 weeks ago

    Insight Global background
    Description
    Design and develop robust, scalable, and flexible data architectures that align with business objectives and support current and future data needsfrom scratch


    • 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.
    • Building ETL solutions - 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, reporting, and analytics.
    • Optimize data structures and queries for performance and efficiency to enable real-time or near-real-time analytics and reporting capabilities.
    • Evaluate emerging technologies, tools, and platforms in the data management space and make recommendations for adoption based on business needs and industry trends.
    • Lead the implementation and configuration of data management solutions, including databases, data warehouses, data lakes, ETL tools, and BI/reporting tools.
    • Architect cloud-based data solutions leveraging platforms such as AWS, Azure, or Google Cloud Platform.
    • Lead the migration of on-premises data systems to cloud environments, ensuring scalability, reliability, and cost efficiency.
    • Collaborate with cross-functional teams, including business stakeholders, IT professionals, developers, and analysts, to understand requirements, resolve issues, and deliver high-quality data solutions.
    • Establish data governance frameworks, policies, and standards to ensure data quality, privacy, security, and compliance with regulatory requirements.
    • Implement security measures to protect sensitive data assets and mitigate cybersecurity risks.
    • Communicate complex technical concepts and solutions to non-technical stakeholders in a clear and understandable manner.
    • Will manage a team of Data Engineer and Power BI specialist that they help hire

    We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

    We are an equal opportunity/affirmative action employer that believes everyone matters.

    Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

    If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to .

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
    .

    Required Skills & Experience


    • Industry alignment should be Manufacturing, Logistics, Ops, no Big Tech
    • Bachelor's in Computer Science, Information Systems, or a related field.
    * 10+ yrs experience 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.
    • Strong communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders.
    • 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
    Nice to Have Skills & Experience


    • Master's degree in computer science, Information Systems, or a related field.

    Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.

    Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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