Data Analytics Architect

Primary Focus Areas

• Build Data and Analytics Architecture
• Build/Develop Data Strategy, Data Pipeline System Optimization and Security

Technical Proficiency

• Deep knowledge in relational databases
• Data warehousing technologies snowflakes
• Databricks
• Data modeling tools like DBT
• Strong ability to translate complex technical concepts to non-technical stakeholders

Position Concept

The Data and Analytics Architects responsible for the “back end” components of the organization's BIA environment from standards, architecture, and design perspectives. Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organization's custom-built analytic data structures (e.g., staging areas, data warehouse and data marts) as well as the design of these structures. Responsible for the strategy and design related to the 'federation' of custom-built data architecture with vendor provided solutions. Provides technical oversight and assures the quality of the work done by data analysts and data engineers and developers. Serve as a subject matter expert with significant, recent hands-on experience with a state-of-the-art data integration and cleansing tools available in the SAP and Azure platforms etc.

Primary Duties And Responsibilities

• Define and evolve the data architecture in alignment with enterprise standards to support diverse use cases such as reporting, OLAP, dashboards, data mining, and statistical analysis.
• Ensure the architecture meets operational requirements including scalability, security, reliability, and flexibility.
• Determine the appropriate deployment environment, whether cloud-based or on-premise.
• Establish best practices for source data analysis, ETL design and documentation, data federation across platforms (e.g., AMI, Empower, custom analytics), business rule placement (with the Information Architect), ETL testing and release management (with the Change Coordinator), database-level security (with DBAs), and data masking, anonymization, and tokenization.
• Translate user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL developers, and designing logical and physical analytic data structures.
• Deploy metadata tools to document data sources, analytic structures, semantic layers, and BI applications; implement security for data integration and cleansing tools; collaborate on support environments and release management best practices; oversee the operational environment; and work with DBAs and operations teams to monitor and optimize ETL and data structure performance.
• Establish and manage QA related functions including: Testing (unit, system, stress, etc.) and Peer reviews (e.g., reviews of data models, ETL application design, etc.).
• Provide technical oversight of the activities of ETL developers and data analysts and provide coaching and mentoring to these BIA team members regarding technical skills and competencies.
• Serve as a technical subject matter expert (SME) to provide consultation for BIA-related initiatives.

Qualifications

• Education Required: Bachelor’s degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline.
• Preferred: At least one professional certification in specific job-related disciplines preferred in addition to the requirements above.
• Direct Experience Required: 7 years of direct work experience performing the Duties & Responsibilities of this position or performing duties closely related to the Duties & Responsibilities of this position.
• Hands-on experience with state-of-the-art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc.
• Preferred: Gas or Electric utility experience
• Experience working in large public or private-sector organizations
• Supervisory Experience NONE

Required Knowledge/Skills/Abilities (KSA)

• Deep knowledge of and experience with SAP and Microsoft Azure suites (ETL, service bus and data quality tool components) and understanding of SAP HANA, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. platforms and ability to provide thought leadership regarding their deployment.
• Deep knowledge of and experience in establishing ETL application design standards as well as in designing and implementing such applications.
• Preferred: Demonstrated knowledge of Electric Grid Solutions such as ADMS (Advanced Distribution Management System), EMS (Energy Management System), AMI/MDM (Advanced Metering Infrastructure/Meter Data Management), Intergraph GIS (Geographical Information System)
• Knowledge of fundamentals of Data Science, Artificial Intelligence (Machine Learning etc.), Block Chain etc.
• Ability to assess emerging business & regulatory changes and articulate how these can positively impact the Company.

Benefits

• Competitive Salary
• 401k Savings plan w/ company matching
• Pension plan
• Paid time off
• Paid Holiday time
• Medical, Prescription Drug, & Dental Coverage
• Tuition Assistance Program
• Employee Assistance Program
• Wellness Programs
• On-site Fitness Centers
• Bonus Plan and more!