Design and develop frameworks for increasing the overall efficiency of bringing data into the data lake, processing and delivery of data; Encode best practices into reusable tools that can be shared across the team.

More Uses of the SQL Toolkit:

  • Supervise: design and implement a modern data architecture (warehouse, relational, noSQL, data streaming, containers, microservices, iPaaS).
  • Secure that your strategy leads the data analytics and data warehousing efforts in research, development, and implementation of appropriate data systems that lead to improved business performance and achievement of overall business goals.
  • Establish that your group determines the adoption of suitable modular tool sets that drive innovation and create an advantage for the business.
  • Confirm you assess; build instrumentation for end to end data observability so as to ensure accurate, timely and high quality of data.
  • Execute technical feasibility assessments and project estimates for moving databases and data processing to Azure.
  • Establish that your organization supports other business executives and departmental leaders in making strategic, data driven decisions, in regard to new products, additional use cases, customer segments, investments, among other subjects.
  • Create source to target mappings and ETL design for integration of new/modified data streams into the data warehouse/data marts.
  • Head: database products, system migrations, project management, customer and partner communications, partner enablement and cloud adoption projects.
  • Orchestrate: partner and consult with project teams to enable consistent solution design and implementations aligned to the architecture.
  • Ensure you recognize that data challenges are multifaceted, and you understand the technical, business, operational, and human issues at play.
  • Ensure your organization supports the business with reporting and creation and management of ongoing vendor and client based reporting needs.
  • Manage advanced knowledge in troubleshooting and resolving database performance issues, connectivity issues, and security issues.
  • Ensure you reorganize; lead, design, develop, and deliver large scale Azure data systems, data processing, and data transformation projects.
  • Assure your team complies; solutions architects combine serious technical expertise, next level problem solving skills, and old organization grit.
  • Drive and oversees initiatives to meet and even exceed performance expectations, key metrics, and enable overall profitability of the business.
  • Confirm your venture ensures application changes from development are tested and successfully migrated into the production environment.
  • Deploy Azure solutions; provide architectural guidance, implement and troubleshoot issues to ensure platform success.
  • Manage to clearly communicate instructions and sensitive information down the line for data analytics and data warehousing personnel to effectively execute duties.
  • Ensure you understand who the key stakeholders on projects are, and positively influence the business need behind the use of technology.
  • Assure your organization complies; mentors and provides ongoing guidance to Business Analysts, Super Users and Technical Application Support Analysts on complex issues and errors.
  • Oversee: work seamlessly with business leaders to understand and provide clear and insightful data reporting and analytical exposure of data.
  • Drive: act as an expert technical resource for cloud data modelling, data warehouse architecture and analysis efforts to support business team goals.
  • Ensure you chart; recommend and design system or tool changes or enhancements, giving primary consideration to the feasibility, maintainability, internal customer needs, and overall cost/benefit and quality requirements.
  • Prepare initiatives for information systems and application systems through efficient coordination with internal customers.
  • Generate documentation on existing production data logic and its influencing business processes in order to reconcile knowledge gaps between the business, engineering, and data collection.
  • Systematize: design and advocate solutions using modern cloud technologies, design principles, integration points, and automation methods.
  • Steer: team leader that develops and maintains specialty web and mobile solutions, integrated with the core ERP solution.
  • Manage and troubleshoot application integration issues, understand the supporting integration tools and data flow.
  • Collaborate closely with the Data Governance and Information Security team to drive data quality and regulatory compliance.
  • Be certain that your organization builds, maintain, and improves the existing business intelligence and analytics tools across your organization and across the business.

 

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