

Data Architect
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with a contract length of "unknown," offering a pay rate of "unknown." It requires expertise in GCP, SQL, Dataform, and experience in the healthcare industry is preferred. Strong analytical skills and Git proficiency are essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 20, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York City Metropolitan Area
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π§ - Skills detailed
#Data Governance #Python #Data Engineering #GIT #Cloud #Data Architecture #Compliance #SQL (Structured Query Language) #Data Modeling #Automation #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Data Quality #Version Control #Scripting #GCP (Google Cloud Platform) #Data Pipeline #SQL Queries #Scala
Role description
A leading organization is seeking an experienced Data Architect to design, build, and optimize modern data solutions. The ideal candidate will bring expertise in cloud-based data architectures, data modeling, and advanced SQL development. This role will focus on creating scalable, reliable, and secure data platforms that support analytics, reporting, and business decision-making.
Key Responsibilities
β’ Design and implement scalable data architectures leveraging Google Cloud Platform (GCP).
β’ Develop, maintain, and optimize Dataform workflows and data pipelines.
β’ Architect and manage datamarts to support analytics and business intelligence.
β’ Write, review, and optimize complex SQL queries and stored procedures.
β’ Apply version control and best practices using Git for data workflows.
β’ Ensure data quality, governance, and compliance across platforms.
β’ Collaborate with engineering, analytics, and business stakeholders to translate requirements into effective data solutions.
Qualifications
β’ Proven experience as a Data Architect, Data Engineer, or in a similar role.
β’ Strong knowledge of GCP, SQL, Dataform, and datamart design.
β’ Hands-on experience with Git for version control and collaborative development.
β’ Strong analytical and problem-solving skills with attention to detail.
β’ Excellent communication and collaboration skills.
Preferred Skills
β’ Experience in the healthcare industry and familiarity with healthcare data standards.
β’ Proficiency in Python for scripting, automation, and advanced data transformation.
β’ Knowledge of data governance, privacy, and compliance best practices.
A leading organization is seeking an experienced Data Architect to design, build, and optimize modern data solutions. The ideal candidate will bring expertise in cloud-based data architectures, data modeling, and advanced SQL development. This role will focus on creating scalable, reliable, and secure data platforms that support analytics, reporting, and business decision-making.
Key Responsibilities
β’ Design and implement scalable data architectures leveraging Google Cloud Platform (GCP).
β’ Develop, maintain, and optimize Dataform workflows and data pipelines.
β’ Architect and manage datamarts to support analytics and business intelligence.
β’ Write, review, and optimize complex SQL queries and stored procedures.
β’ Apply version control and best practices using Git for data workflows.
β’ Ensure data quality, governance, and compliance across platforms.
β’ Collaborate with engineering, analytics, and business stakeholders to translate requirements into effective data solutions.
Qualifications
β’ Proven experience as a Data Architect, Data Engineer, or in a similar role.
β’ Strong knowledge of GCP, SQL, Dataform, and datamart design.
β’ Hands-on experience with Git for version control and collaborative development.
β’ Strong analytical and problem-solving skills with attention to detail.
β’ Excellent communication and collaboration skills.
Preferred Skills
β’ Experience in the healthcare industry and familiarity with healthcare data standards.
β’ Proficiency in Python for scripting, automation, and advanced data transformation.
β’ Knowledge of data governance, privacy, and compliance best practices.