Brillio

2 months ago

Data Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Client-facing Data Architect leading enterprise data architecture, cloud modernization, and analytics transformation. Designs scalable cloud-based data and BI solutions using Snowflake, Azure, dbt, Power BI, SQL, Dagster, Fivetran, and Python; provides strategic consulting, stakeholder management, and hands-on technical leadership across analytics platforms and data engineering practices.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

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.

Pay and Benefits

Salary: USD 150,000 - 160,000 annually

Key Requirements

•7+ years of experience in Data Architecture, Cloud Data Engineering, BI, or Analytics.
•Expertise in Snowflake, dbt, Power BI, SQL, Azure, Dagster, Fivetran, and Python.
•Experience designing cloud-native data warehouse/lakehouse architectures.
•Strong client-facing consulting and stakeholder management experience.
•Excellent communication and executive presentation skills.

Experience:7+ yearsCPGManufacturingRetailSupply ChainFood Manufacturing

Education:Bachelor's

Certifications:Snowflake certificationAzure certificationPower BI certification

Tech Stack:SnowflakeAzureDbtPower BISQLDagsterFivetranPython

Company Brief

Brillio

Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Santa Clara, United States

Founded: 2014

Website LinkedIn

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Brillio

2 months ago

Data Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

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.

Pay and Benefits

Salary: USD 150,000 - 160,000 annually

Key Requirements

•7+ years of experience in Data Architecture, Cloud Data Engineering, BI, or Analytics.
•Expertise in Snowflake, dbt, Power BI, SQL, Azure, Dagster, Fivetran, and Python.
•Experience designing cloud-native data warehouse/lakehouse architectures.
•Strong client-facing consulting and stakeholder management experience.
•Excellent communication and executive presentation skills.

Experience:7+ yearsCPGManufacturingRetailSupply ChainFood Manufacturing

Education:Bachelor's

Certifications:Snowflake certificationAzure certificationPower BI certification

Tech Stack:SnowflakeAzureDbtPower BISQLDagsterFivetranPython

Company Brief

Brillio

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Santa Clara, United States

Founded: 2014

Website LinkedIn