Parkar
Project Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Project Lead in Westchester, IL, lasting 10-15 years with a pay rate of "unknown." Requires 10-15 years of IT experience, 5+ years in data engineering, GCP expertise, and certifications in GCP Professional Data Engineer or Architect.
🌎 - Country
United States
💱 - Currency
Unknown
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 11, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Westchester, IL
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🧠 - Skills detailed
#Metadata #Visualization #Cloud #Apache Beam #SQL (Structured Query Language) #Python #Data Ingestion #IAM (Identity and Access Management) #Data Architecture #Azure #Code Reviews #Data Management #Microsoft Power BI #Synapse #Dataflow #BigQuery #Data Security #Data Engineering #Batch #Leadership #Security #Scala #GCP (Google Cloud Platform) #Data Modeling #Data Governance #"ETL (Extract #Transform #Load)" #Airflow #BI (Business Intelligence) #Data Catalog
Role description
Job Title: Project Lead
Location: Westchester, IL
Role Overview:
We are seeking a highly experienced GCP Project Lead with Data Solution Architecture expertise to design and deliver scalable data solutions on Google Cloud Platform. This role emphasizes technical leadership, solution architecture, and code quality, while also providing onsite coordination. The ideal candidate will have strong experience in GCP data services, workflow orchestration, and data governance, with exposure to Azure and Power BI as added advantages.
Key Responsibilities:
Solution Architecture & Technical Leadership
Design end-to-end data architecture on GCP for analytics, governance, and orchestration.
Define best practices for data ingestion, transformation, and workflow orchestration.
Conduct code reviews, enforce standards, and optimize performance.
Provide guidance on data security, data cataloguing, and governance frameworks.
GCP Expertise
Architect solutions using BigQuery, Dataflow, Dataplex Data Catalog, and Cloud Composer.
Architect Data Security using Row Level Security, Column Level Security and Table level access
Implement ETL/ELT pipelines, streaming and batch processing.
Integrate data governance policies and metadata management using Dataplex.
Onsite Coordination
Act as the primary technical point of contact for client stakeholders.
Collaborate with offshore teams for smooth delivery and issue resolution.
Support project planning and ensure alignment with architectural standards.
Technical Skills Required:
Google Cloud Platform (GCP):
BigQuery: Advanced SQL, performance tuning, partitioning, and optimization.
Dataflow: Streaming/batch pipelines using Apache Beam.
Cloud Composer: Workflow orchestration using Airflow.
Dataplex: Data governance, cataloging, and security policies.
Strong understanding of data architecture, data modeling, and integration patterns.
Proficiency in Python, SQL, and familiarity with Airflow DAGs.
Knowledge of IAM, and security best practices on GCP.
Power BI for data visualization and reporting.
Added Advantage:
Experience with Azure Data Services (Data Factory, Synapse).
Experience:
10–15 years of IT experience with 5+ years in data engineering and architecture.
2+ years of hands-on GCP experience across BigQuery, Dataflow, Dataplex, and Composer.
Proven track record in solution design, code reviews, and technical governance.
Experience in leading onsite engagements and managing distributed teams.
Preferred Qualifications:
GCP Professional Data Engineer or Architect certification.
Exposure to data governance frameworks and metadata management.
Job Title: Project Lead
Location: Westchester, IL
Role Overview:
We are seeking a highly experienced GCP Project Lead with Data Solution Architecture expertise to design and deliver scalable data solutions on Google Cloud Platform. This role emphasizes technical leadership, solution architecture, and code quality, while also providing onsite coordination. The ideal candidate will have strong experience in GCP data services, workflow orchestration, and data governance, with exposure to Azure and Power BI as added advantages.
Key Responsibilities:
Solution Architecture & Technical Leadership
Design end-to-end data architecture on GCP for analytics, governance, and orchestration.
Define best practices for data ingestion, transformation, and workflow orchestration.
Conduct code reviews, enforce standards, and optimize performance.
Provide guidance on data security, data cataloguing, and governance frameworks.
GCP Expertise
Architect solutions using BigQuery, Dataflow, Dataplex Data Catalog, and Cloud Composer.
Architect Data Security using Row Level Security, Column Level Security and Table level access
Implement ETL/ELT pipelines, streaming and batch processing.
Integrate data governance policies and metadata management using Dataplex.
Onsite Coordination
Act as the primary technical point of contact for client stakeholders.
Collaborate with offshore teams for smooth delivery and issue resolution.
Support project planning and ensure alignment with architectural standards.
Technical Skills Required:
Google Cloud Platform (GCP):
BigQuery: Advanced SQL, performance tuning, partitioning, and optimization.
Dataflow: Streaming/batch pipelines using Apache Beam.
Cloud Composer: Workflow orchestration using Airflow.
Dataplex: Data governance, cataloging, and security policies.
Strong understanding of data architecture, data modeling, and integration patterns.
Proficiency in Python, SQL, and familiarity with Airflow DAGs.
Knowledge of IAM, and security best practices on GCP.
Power BI for data visualization and reporting.
Added Advantage:
Experience with Azure Data Services (Data Factory, Synapse).
Experience:
10–15 years of IT experience with 5+ years in data engineering and architecture.
2+ years of hands-on GCP experience across BigQuery, Dataflow, Dataplex, and Composer.
Proven track record in solution design, code reviews, and technical governance.
Experience in leading onsite engagements and managing distributed teams.
Preferred Qualifications:
GCP Professional Data Engineer or Architect certification.
Exposure to data governance frameworks and metadata management.
