{"schemaVersion":"jobsearcher.job.v1","id":"8da7b59d97b1f533e7fc35e9","url":"https://jobsearcher.com/jobs/8da7b59d97b1f533e7fc35e9","canonicalUrl":"https://jobsearcher.com/jobs/8da7b59d97b1f533e7fc35e9","title":"Data Analytics Architect","description":"Dallas, Texas | Full Time\n\nData Analytics Architect\n\nLead design and delivery of end-to-end data analytics solutions. Conduct technical POCs on data analytics and AI/ML technologies. Work with data visualization team within the Data Analytics Centre of Excellence. Design business intelligence reports, interactive dashboards and KPI scorecards using Power BI. Use data architecture, data management, data integration, Snowflake Data Cloud, Azure, AWS, DBT, Airflow, Spark, Snowpark, and Python. Identify business trends, anomalies and add insights. Perform requirements gathering, analysis and stakeholder management. Lead Power BI Implementations, handle enterprise-wide Power BI deployments and implement best practices for production environment. Implement dimensional modelling principles, security, DAX, Power Query Transformations and Power BI Dataflows. Work with other data science and analytics teams to create and implement data strategies, design data pipelines, and develop data models and data products. Pre-Sales Support with sales teams to provide subject matter expertise and solution support on proposals. Provide thought leadership around best practices in analytics platforms, business intelligence, data management and Big Data. Conduct Business Intelligence and Dashboard Orientation Trainings for business users to increase adoption of BI/data tools. May require travel/relocation to unanticipated work locations within the USA.\n\nRequire Bachelor of Science in Computer Science/Engineering, Information Systems/Technology, Engineering, Data Analytics/Sciences, or related fields and 5 years of experience in the job offered, software engineer/developer, data analyst/engineer/scientist, systems/programmer engineer/analyst, associate/consultant, or related field.\n\nPlease mail your resume to Maruthi Technologies, Inc, 14911 Quorum Drive, Suite 390, Dallas, TX 75254\nLiquid error: undefined method `public_fields' for nil:NilClass","company":"Anblicks","rawCompany":"anblicks","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-02T08:57:26.896Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Architect","description":"Dallas, Texas | Full Time\n\nData Analytics Architect\n\nLead design and delivery of end-to-end data analytics solutions. Conduct technical POCs on data analytics and AI/ML technologies. Work with data visualization team within the Data Analytics Centre of Excellence. Design business intelligence reports, interactive dashboards and KPI scorecards using Power BI. Use data architecture, data management, data integration, Snowflake Data Cloud, Azure, AWS, DBT, Airflow, Spark, Snowpark, and Python. Identify business trends, anomalies and add insights. Perform requirements gathering, analysis and stakeholder management. Lead Power BI Implementations, handle enterprise-wide Power BI deployments and implement best practices for production environment. Implement dimensional modelling principles, security, DAX, Power Query Transformations and Power BI Dataflows. Work with other data science and analytics teams to create and implement data strategies, design data pipelines, and develop data models and data products. 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