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Architect
Enterprise Data Architect Contract
Position: Big Data, Enterprise Data Architect
Location: Dallas, TX (Day 1 – Hybrid, Need Local consultants only)
Visa: USC
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Skill
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Years of exp
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rating out of 10
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Year last used
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Big data
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DataLake
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Datawarehouse
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Data Quality
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Data Governance
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Data Modelling
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Data Architecture, Building Data Flows for enterprise
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Data Modernization or Migration projects from On-prem to Cloud
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Proposal preparation, Client presentations
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Working on ETL Tools, Google Cloud Platform Cloud Platform
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Oracle
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Teradata
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Snowflake
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DataStage
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Tableau
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Role & Responsibilities:
- Support technical pre-sales efforts and attend customer meetings as needed, to function as a trusted advisor to clients.
- Guide clients in setting up and execution of the roadmap and vision for enterprise data warehouse, big data, BI & analytics, and data management.
- Recommend & drive the standards for Data Quality across multiple datasets, Governance best practices and drive for data trust across client enterprise.
- Lead Cloud Strategy development, modernization defining business drivers, cloud adoption roadmap and business value.
- Provide program level support on client development projects in Big Data, Datawarehouse/Data Lake.
- Participate and oversee the design of Cloud solutions, from conceptual, logical, and physical design to meet client s business and technical requirements leveraging architecture patterns and following development processes.
- Partner with client business and technology stakeholders to drive future state architecture for enterprise Data, Reporting and Analytics platform and solutions.
- Define architecture/blueprints, and advise clients on technology strategy, Migration/modernization, cloud adoption.
- Lead data migration, modernization projects of databases/data warehouses (Oracle or Teradata) from on-premises to AWS/Google Cloud Platform cloud.
Qualifications:
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15+ Years of IT experience in Big data, Data warehouse & Data Architecture
- Experience with RDBMS, Data warehouse/Data Lake platforms like Oracle, Teradata, Snowflake, BI and ETL tools DataStage, Tableau
- Implementation, management and tuning experience of Data Warehouse with complex ETL Data Pipelines
- Experience in Data Modelling, Schema Design, Query Tuning and Optimization, and Data Migration and Integrations
- Prior project experience in data normalization, meta data management, source to target data mapping documentation using industry standard tools
- Prior experience in executing projects in data quality & Data Governance
- Detailed understanding of the Cloud Infrastructure for building & maintaining large data enterprise in cloud platforms like Google Cloud Platform (BigQuery, BigTable, DataFlow, DataProc, DataPrep, Pub/Sub, Machine Learning)
- Minimum of 3 years of development, and implementation of enterprise-level data solutions utilizing large data sets
- Good knowledge data governance and compliance regulations GDPR/CCPA/PCI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
