Consulting, Senior Solution Specialist

Position Summary

Deloitte Consulting LLP seeks a Consulting, Senior Solution Specialist in Lake Mary, Florida and various unanticipated Deloitte office locations and client sites nationally.

Work You'll Do
Modernize business and core environments to leverage technology innovations across multiple platforms; drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise for continuous insights and improvements. Drive various aspects of the full data delivery lifecycle for implementations, which may include requirements gathering, business process analysis, scripting, code deployments, enhancement validation, triage of defects and change requests, escalations and urgent issues. Create architecturally significant non-functional requirements to design reusable data ingestion and data management components. Establish data ingestion patterns and design data integration interfaces with internal and external data sources. Drive advisory and implementation services of large-scale data ecosystems, including data management, governance and the integration of structured and unstructured data, to generate insights leveraging various platforms to help companies unlock the value of big technology investments. Provide technical recommendations for optimized data access and retention from various data warehouses. Create technical and functional specifications, including screen layouts, navigation flows, logic diagrams, data models, and process models. Design and implement solutions to extract and reconcile data scattered across multiple sources.

• 15% Travel Required Nationally.
• Telecommuting Permitted.
• Work location includes various unanticipated Deloitte office locations and client sites nationally.

• Utilizing microsoft tools including Azure applications, experience in handling migrations from on-premises to cloud and multicloud environments and strategies to generate insights leveraging cloud-based, web-based or on-premise;
• Participating in setting engagement objectives and scope, developing work plans for components of engagements, coordinating activities between workstreams, and identifying changes in scope;
• Utilizing cloud technologies Azure and GCP to coordinate and drive aspects of the full data delivery lifecycle for implementations, including Data Acquisition, Extract Transform Load (ETL) process, Optimization Strategies, requirements gathering, business process analysis, scripting, code deployments, enhancement validation, triage of defects and change requests, escalations and urgent issues;
• Providing industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modeling tools, including Databricks, Bigquery, Azure Data Factory, and Tableau and consolidating the implications to present recommendations to senior management.
• Designing and implementing reporting and visualization for unstructured and structured data sets, utilizing visualization tools Tableau and Google Studio;
• Performing data analysis, including inspecting, cleansing, transforming and modeling for enabling data mining and resolving data mapping and data modeling issues, using Data pipelines with Azure Databricks and Statistical model Scikit-learn;
• Building reports and data models in Databricks, Tableau, Azure, and GCP based on performance measurement metrics, allowing for business and technical users to provide insights into the organization's data; and
• Developing, testing, migrating and deploying application changes with schemas, pipelines, orchestrations and automating ETL procedures using Bigquery and Databricks, and utilizing SQL, Pyspark, and Python to perform data warehousing and data integration functions.