Senior GCP Data Architect: BigQuery & Dataflow

HCL Technologies Limited; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

Sapsf is seeking a GCP Senior Technical Specialist to design and optimize data pipelines using Google BigQuery, SQL, Python, and Google Dataflow in a fast-paced environment.

You will collaborate with stakeholders to model data and ensure quality, leveraging CA Erwin Data Modeler for data modeling and maintaining robust data workflows.

Qualifications

• Experience implementing Google BigQuery data pipelines.
• Strong SQL querying and data analysis skills.
• Proficient Python for data manipulation and automation.
• Experience with Google Dataflow and data modeling.
• Familiarity with CA ERwin Data Modeler for data modeling.

Responsibilities

• Design, develop, and maintain BigQuery data pipelines for efficient processing.
• Query and analyze large datasets in BigQuery using SQL.
• Develop Python scripts for automation and data manipulation tasks.
• Create and optimize data processing pipelines with Dataflow.
• Collaborate with stakeholders to model data and use CA Erwin for modeling.
• Monitor data quality and troubleshoot data integrity issues.
• Stay updated on analytics tech and contribute to process improvements.

Skills

BigQuery

SQL

Python

Dataflow

Data modeling

Analytical thinking

Communication

Prioritization

Tools

CA ERwin Data Modeler

Job description

Career Opportunities: GCP Senior Technical Specialist (169130)

Requisition ID169130-Posted09/23/2026

The Senior Technical Specialist will be responsible for implementing and optimizing solutions using Google BigQuery, SQL, Python, Google Dataflow, and CA Erwin Data Modeler. The role entails working on data transformations, analytics, and modeling to provide valuable insights to the organization.

Key Responsibilities

1. Design, develop, and maintain google bigquery data pipelines for efficient data processing.
2. Utilize sql for querying and analyzing large datasets in google bigquery.
3. Develop and implement python scripts for automation and data manipulation tasks.
4. Create and optimize data processing pipelines using google dataflow.
5. Collaborate with stakeholders to understand data modeling requirements and utilize ca erwin data modeler for effective data modeling.
6. Monitor data quality, troubleshoot issues, and ensure data integrity across systems.
7. Stay updated with the latest technological advancements in data analytics and contribute to process improvements.

Skill Requirements

1. Proficiency in google bigquery for data warehousing and processing.
2. Strong command over sql for querying and analyzing datasets.
3. Advanced knowledge of python programming for data manipulation and automation.
4. Experience with google dataflow for building and optimizing data pipelines.
5. Familiarity with ca erwin data modeler for effective data modeling and database design.
6. Strong analytical and problem-solving skills to handle complex data related challenges.
7. Excellent communication skills to collaborate with cross functional teams and stakeholders effectively.
8. Ability to work in a fast paced environment and manage multiple priorities simultaneously.

Other Requirements

1.Relevant certifications in Google BigQuery, SQL, Python, Google Dataflow, or CA Erwin Data Modeler would be a plus.