Google Cloud Platform Data Architect Job in Intersoft Data Labs

Google Cloud Platform Data Architect

Job Description
Intersoft is looking for exceptionally talented, bright and driven people who can enable our customers through their digital journey. We are looking for passionate GCP Data Architects to join our Data & Analytics team to architect and modernize the enterprise data solutions on Google Cloud Platform integrating GCP services and 3rd party data technologies.

Key Responsibilities:

• Lead a team of data engineers in designing, developing, testing and deploying high performance data pipelines in GCP.
• As an architect, work with implementing teams providing subject matter expertise for successfully deploying large scale data solutions in GCP.
• Analyze and understand Big Data technologies on GCP and lead in architecting data strategies.

Basic Qualifications:

• Solid experience and understanding of large-scale architecting, solutioning and operationalization of data warehouses, data lakes and analytical platforms in GCP.
• 3+ years designing and operationalizing large scale enterprise data solutions and applications using one or more of GCP data services in combination with 3rd parties Databricks Spark, Cloud BigQuery, Cloud Dataflow, Apache Airflow, Cloud PubSub, Cloud Functions etc.
• 3+ years of hands-on experience analyzing, re-architecting and re-platforming on premise data warehouses to data platforms on GCP using GCP / 3RD party services.
• 3+ years of experience with designing and building production data pipelines from ingestion to consumption using Python / Java / Scala & SQL.
• Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP.
• Understanding of end to end data analytics solutions from ingestion through visualization for large-scale, complex data environments.
• Google Cloud Certified Data Engineer.

Mail Resume to career@intsof.com in the format [First name]_[Job Title].Pdf or [First name]_[Job Title].docx