Google Cloud Platform Data Architect

This is Srikanth from Reliable Software. We currently have an opportunity with one of our direct clients and would like to share the details with you. Please review the information below and let me know if you are interested. If you would like to be considered, kindly share your updated resume at

Job Title: Google Cloud Platform Data Architect

Location: Detroit, MI

Required Skills:-

·         Python                  

·         Google Cloud Platform Native          

·         Data Warehousing                                         

·         BigQuery              

·         Data Modeling

·         ETL / ELT Pipelines

KEY RESPONSIBILITIES

•       Architect enterprise data warehousing solutions on Google Cloud Platform using BigQuery as the primary analytical platform, including logical and physical data model design

•       Design and implement data modeling patterns: star schema, snowflake, data vault, and wide-table approaches optimized for BigQuery performance and cost

•       Define lakehouse architectures across BigQuery and Cloud Storage using Parquet, Avro, and ORC formats with appropriate partitioning and clustering strategies

•       Lead the design of batch and streaming ingestion pipelines using Dataflow (Apache Beam), Dataproc (PySpark), Pub/Sub, and BigQuery Data Transfer Service

•       Establish transformation layer standards using dbt or Python-based ELT patterns within BigQuery

•       Design pipeline orchestration frameworks using Cloud Composer (Airflow) for complex multi-step workflows

•       Define data governance standards: schema management, data lineage, access controls, and partitioning policies across Google Cloud Platform projects

•       Lead technical discovery with client stakeholders, produce architecture decision records, and translate business requirements into data platform designs

•       Mentor data engineers and ensure adherence to architecture standards across delivery teams

REQUIRED SKILLS

•       Python: Advanced proficiency for pipeline development, data transformation scripts, and Google Cloud Platform SDK/API integrations

•       Google Cloud Platform expertise: Deep hands-on experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud SQL

•       Data warehousing: Proven experience designing enterprise-scale data warehouses with dimensional and vault modeling techniques

•       Data modeling: Strong ability to design logical and physical models for analytical and operational workloads on BigQuery

•       ETL/ELT pipelines: Designing and overseeing large-scale batch and streaming data pipelines for structured and semi-structured data

•       SQL: Expert-level BigQuery SQL including window functions, nested/repeated fields, partitioning, and query optimization

•       Leadership: Ability to lead architecture decisions, align cross-functional teams, and mentor engineers

PREFERRED

•       Google Cloud Platform certifications: Professional Data Engineer or Professional Cloud Architect

•       Experience with dbt Cloud for BigQuery transformation and documentation

•       Familiarity with data catalog tools: Dataplex, Data Catalog, or Collibra on Google Cloud Platform

•       Exposure to real-time analytics patterns using BigQuery streaming inserts or Bigtable

Educational Qualifications:

• Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.
• Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.

Travel:

·   Open to travel based up on the nature of the engagement.

Thanks & Regards