Company:
cyberThink, Inc
Location: Richmond
Closing Date: 25/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Description:
As a Data Warehouse Technical Architect, you will provide technical oversight and support for data intake, governance, transformation, quality, lineage, metadata management, master data management, virtualization, and data services. You will be responsible for supporting and evolving our existing data warehouse technologies, which include Oracle Data Warehouse, IBM DataStage, and MFT. The ideal candidate will have extensive experience with cloud infrastructure and data management tools such as IBM Information Governance Catalog (IGC), Information Knowledge Catalog (IKC), or Collibra, ensuring effective data quality management.
Key Responsibilities:
Provide technical oversight and support for existing data warehouse technologies, including Oracle Data Warehouse and DataStage.
Collaborate with Enterprise Architecture teams to define and implement roadmaps for transitioning to modern cloud-based data warehousing solutions.
Design, develop, and maintain data governance and management processes using tools like IGC, IKC, or Collibra.
Ensure the data infrastructure meets the needs of business operations by ensuring data quality, integrity, and security.
Drive initiatives related to data integration, ETL processes, and data migration strategies.
Monitor performance and manage scaling strategies for existing data warehouse environments.
Stay up to date with industry trends and innovations in data warehouse and data management technologies, recommending improvements as necessary.
Work closely with business analysts, developers, business users, architects, and DBAs to ensure the data warehouse supports business goals.
Conduct data capacity planning, life cycle, duration, and usage requirements feasibility studies.
Provide leadership and mentorship to the data warehouse team, ensuring best practices in data architecture and engineering are followed.
Required Skills, Experiences, Education, and Competencies:
15+ years of experience in data warehousing and data architecture.
Extensive experience in data mining, large-scale data modeling, data profiling, and data mapping.
Experience with Azure Cloud, Azure Data Factory, and Data Bricks.
Strong experience with Oracle, DataStage, and IBM Integration Bus (IIB) for data integration and ETL.
Solid experience with data management and governance tools like IBM Information Governance Catalog (IGC), Information Knowledge Catalog (IKC), or Collibra.
Expertise with modern cloud data warehouse platforms such as Azure Synapse or Snowflake.
Understanding of ETL processes, data integration strategies, and data migration in both on-premises and cloud environments.
Strong analytical and problem-solving skills with the ability to balance competing priorities.
Excellent communication and stakeholder management skills, with the ability to work cross-functionally across teams.
Familiarity with data modeling, data lakes, and big data technologies.
Preferred Skills:
Knowledge of big data tools like Hadoop, Spark, and Kafka.
Certifications in Oracle, Azure, or Snowflake technologies.
Experience with data privacy regulations like GDPR, CCPA, and best practices in data security.
Experience with Automation and AI in Data Warehousing.
The hourly range for roles of this nature are $40.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.
cyberThink is an Equal Opportunity Employer.
As a Data Warehouse Technical Architect, you will provide technical oversight and support for data intake, governance, transformation, quality, lineage, metadata management, master data management, virtualization, and data services. You will be responsible for supporting and evolving our existing data warehouse technologies, which include Oracle Data Warehouse, IBM DataStage, and MFT. The ideal candidate will have extensive experience with cloud infrastructure and data management tools such as IBM Information Governance Catalog (IGC), Information Knowledge Catalog (IKC), or Collibra, ensuring effective data quality management.
Key Responsibilities:
Provide technical oversight and support for existing data warehouse technologies, including Oracle Data Warehouse and DataStage.
Collaborate with Enterprise Architecture teams to define and implement roadmaps for transitioning to modern cloud-based data warehousing solutions.
Design, develop, and maintain data governance and management processes using tools like IGC, IKC, or Collibra.
Ensure the data infrastructure meets the needs of business operations by ensuring data quality, integrity, and security.
Drive initiatives related to data integration, ETL processes, and data migration strategies.
Monitor performance and manage scaling strategies for existing data warehouse environments.
Stay up to date with industry trends and innovations in data warehouse and data management technologies, recommending improvements as necessary.
Work closely with business analysts, developers, business users, architects, and DBAs to ensure the data warehouse supports business goals.
Conduct data capacity planning, life cycle, duration, and usage requirements feasibility studies.
Provide leadership and mentorship to the data warehouse team, ensuring best practices in data architecture and engineering are followed.
Required Skills, Experiences, Education, and Competencies:
15+ years of experience in data warehousing and data architecture.
Extensive experience in data mining, large-scale data modeling, data profiling, and data mapping.
Experience with Azure Cloud, Azure Data Factory, and Data Bricks.
Strong experience with Oracle, DataStage, and IBM Integration Bus (IIB) for data integration and ETL.
Solid experience with data management and governance tools like IBM Information Governance Catalog (IGC), Information Knowledge Catalog (IKC), or Collibra.
Expertise with modern cloud data warehouse platforms such as Azure Synapse or Snowflake.
Understanding of ETL processes, data integration strategies, and data migration in both on-premises and cloud environments.
Strong analytical and problem-solving skills with the ability to balance competing priorities.
Excellent communication and stakeholder management skills, with the ability to work cross-functionally across teams.
Familiarity with data modeling, data lakes, and big data technologies.
Preferred Skills:
Knowledge of big data tools like Hadoop, Spark, and Kafka.
Certifications in Oracle, Azure, or Snowflake technologies.
Experience with data privacy regulations like GDPR, CCPA, and best practices in data security.
Experience with Automation and AI in Data Warehousing.
The hourly range for roles of this nature are $40.00 to $80.00/hr. Rates are heavily dependent on skills, experience, location, and industry.
cyberThink is an Equal Opportunity Employer.
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