Brillio
AI & Data Engineering : Data Engineering
DataArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Architect at Brillio. Skills: enterprise data architecture, cloud modernization, analytics transformation, Snowflake, Azure, dbt, Power BI, SQL, Python. Design and implement enterprise cloud data architectures, ETL/ELT pipelines, and modern analytics platforms.. Lead data warehouse/lakehouse modernization initiatives using Snowflake and Azure.”
What You'll Achieve.
lead enterprise data architecture, cloud modernization, and analytics transformation initiatives; design scalable cloud-based data and BI solutions; Lead data warehouse/lakehouse modernization initiatives; Develop scalable BI, reporting, and semantic data models; Establish architecture standards, governance, CI/CD, security, and best practices; Optimize data pipelines, orchestration frameworks, and platform performance
Industry & Context.
translate requirements into scalable solutions; performance optimization
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Analytics, or related field., 7+ years of experience in Data Architecture, Cloud Data Engineering, BI, or Analytics., client-facing consulting and stakeholder management experience., Expertise in Snowflake, dbt, Power BI, SQL, Azure, Dagster, Fivetran, and Python., Experience designing cloud-native data warehouse/lakehouse architectures., knowledge of ETL/ELT, data governance, CI/CD, DevOps, and performance optimization., Excellent communication and executive presentation skills.
Nice to Have
Snowflake, Azure, or Power BI certifications., Experience with Microsoft Fabric, Azure Synapse, and Dynamics 365 F&O., Industry experience in CPG, Manufacturing, Retail, Supply Chain, or Food Manufacturing., Exposure to advanced analytics, forecasting, or machine learning concepts.
What You'll Do.
Design and implement enterprise cloud data architectures
and modern analytics platforms.
Lead data warehouse/lakehouse modernization initiatives using Snowflake and Azure.
and semantic data models with Power BI and SQL.
Establish architecture standards
Partner with business and executive stakeholders to translate requirements into scalable solutions.
and architecture governance activities.
Optimize data pipelines
orchestration frameworks
and platform performance.
Mentor engineering and analytics teams on cloud and data engineering best practices.
How You'll Work.
Team & Collaboration
Partner with business and executive stakeholders to translate requirements into scalable solutions.; Lead workshops, roadmap discussions, and architecture governance activities.; Mentor engineering and analytics teams on cloud and data engineering best practices.
Communication Scope
client-facing; stakeholder management; Excellent communication; executive presentation skills
Full Job Description
## Description About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Data Architect Location: Onsite - Virginia Beach, VA Position Summary We are seeking a client-facing Data Architect to lead enterprise data architecture, cloud modernization, and analytics transformation initiatives. This role combines strategic consulting, stakeholder engagement, and hands-on technical leadership to design scalable cloud-based data and BI solutions using Snowflake, Azure, dbt, Power BI, SQL, Dagster, Fivetran, and Python. Key Responsibilities Design and implement enterprise cloud data architectures, ETL/ELT pipelines, and modern analytics platforms. Lead data warehouse/lakehouse modernization initiatives using Snowflake and Azure. Develop scalable BI, reporting, and semantic data models with Power BI and SQL. Establish architecture standards, governance, CI/CD, security, and best practices. Partner with business and executive stakeholders to translate requirements into scalable solutions. Lead workshops, roadmap discussions, and architecture governance activities. Optimize data pipelines, orchestration frameworks, a
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