Senior Data Solutions & Engineering Architect

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Role

Summary:

The Senior Data Solutions and Engineering Architect is a subject matter expert for data architecture. Develop strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Builds data models and defines the structure, attributes and nomenclature of data elements. Will design data ingestion routines using best practices in data modeling, ETL/ELT processes leveraging Microsoft Azure technologies. Will evaluate new data sources for adherence to the organization's quality standards and ease of integration.

Versed in best practices of data governance and data management. Design, establish and enforce standards and principles for data architectural frameworks including modeling, metadata, security, reference data, master data. Lead with input and recommendations on future architecture opportunities and best practices. Work with internal customers, other data architects and engineers to solve, implement and lead through the deployment of technical solutions for their business needs.

Responsibilities:

• Communicates the vision for the data management supply chain as it relates to business intelligence and data science.
• Develops and maintains the “blueprint” from which BI solutions are built. Includes data pipelines and integrations to support continuing increases in data volume and complexity
• Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
• Implements processes and systems to monitor data quality, ensuring production data is accurate and available for key stakeholders and business processes that depend on it
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Designs data integrations and data quality framework
• Understands and enforces data quality and governance standards like data lineage and traceability
• Lead or key contributor to data strategy in support of data and data architecture scalability and ability to meet business needs
• Design and implement dimensional modeling techniques for data warehouse and mart consumption

Requirements:

• Bachelor’s degree in computer science, Engineering, Math or related field is required. Master's degree is preferred
• 8+ years of experience, specializing in data solutions architecture, design, and development
• 5-7 years of SQL experience (No-SQL experience is a plus)
• 5+ years of experience with schema design and dimensional data modeling
• Ability in managing and communicating data warehouse plans to internal clients
• Experience designing, building, and maintaining data processing systems
• Experience in interpreting business needs from requests, and rapidly implement effective technical solutions
• 5+ years of work experience in data management disciplines including data integration, data modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks
• Experience in Microsoft data technologies such as Synapse, Fabric and Power BI
• Strong experience with popular database programming languages including SQL, PL/SQL and others for relational databases
• Experience sourcing data via a variety of sources like REST web services, MS SQL Server
• Experience using software version control tools (Git, Azure Dev Ops, Subversion, etc.)
• Advanced level of SQL and query performance tuning techniques for Data Integration and Consumption
• Solid understanding of BI and analytics landscape, preferably in large-scale development environments
• Experience with or knowledge of Agile Software Development methodologies
• Background in Cloud Data Warehousing principles and Data Modeling
• Strong aptitude for learning new technologies and analytics techniques
• Communication skills and ability to develop and present solutions to all levels of…