Overview
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
GCP
Job Details
Data Architect with Google Cloud Platform
Location: Irving, TX (Hybrid)
Long Term Contract
C2C/W2
Responsibilities:
- Gaining a deep understanding of business domain data and how it is used for metrics, analytics, and AI/ML data designs for strategic project/data product
- Ensuring the integrity of data designs and governance for data products
- Initiating data design - Conceptual/Logical/Physical data models and proficient in Dimensional Data Design
- Proficient in all modeling techniques - Data Flow, ER Diagram, Conceptual, Logical and Physical
- Metadata and data taxonomy management
- Implementation/designs for data security classification and protection
- Building strong working relationships and develop deep partnerships with the business, Data Engg team and other stakeholders
- Working collaboratively with clients, developers, and QA analytics to design and implement solutions in production
- Data Mapping from the disparate data source Teradata, Oracle, SQL Server and Semi Structure data sources and translate to source to target mapping with complex business rules
- Mandate Skills on : Data Profiling and Analysis and pivoting results to excel
- Will be updating the JIRA s on a regular basis.
What we re looking for...
- SME knowledge & experience using and data architecture/design with Google Cloud Big Query is mandatory
- Google Cloud Platform (Google Cloud Platform) certification (or comparable experience)
- Data design/migration to Google Cloud Platform hands on experience
- Subject matter expertise with Google Cloud Services: Streaming and Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query, and Big Table
- Subject matter expertise with Data Proc & Dataflow with Java on Google Cloud Platform
- Subject matter expertise with serverless data warehousing concepts on Google Cloud Platform
- Experience working with both structured and unstructured data sources
- Familiarity with the Technology stack available in the industry for data cataloging, data ingestion, capture, processing, and curation: Kafka, StreamSets, Collibra, Map Reduce, Hadoop, Spark, Flume, Hive, Impala, Spark SQL
- Five or more years of relevant expertise to create data architecture diagrams/flows, presentation slideware, and other architecture artifacts from requirements and business users using Erwin Data Modeler or a similar toolset
- Working knowledge of Teradata, AWS, and Google Cloud Platform data environments
- SQL expertise.
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