Data Engineer

Data Architect

Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with our data sector, where needed.

Experience designing, building, and deploying scalable cloud-based solution architectures

Expertise in creating lake houses in Azure and building Realtime Streaming Analytics Platform leveraging Azure Services

Experience working with public cloud platforms such as AWS, Azure

Expertise in Python, SQL

Experience with retail client preferred.

Experience building data lakes & data warehouses to support operational intelligence and business intelligence

Experience working with Serverless Computing & Azure Functions

Experience with Cosmos DB, Azure Data Explorer, Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Machine Learning or equivalent tools & technologies

Experience with Kafka and/or other event streaming mechanisms

Experience with monitoring/alerting techniques and APM tools

Experience automating infrastructure provisioning, DevOps, or Continuous Integration/Delivery

Knowledge of containerization and container orchestration technologies.

Expertise with Object Oriented Programming Skills and Design Patterns

Good understanding and/or experience writing software in one or more languages, such as Java, Go, JavaScript, C++, or similar

Familiarity with standard IT security practices such as identity and access management, SSO, data protection, encryption, certificate, and key management

Familiarity and good understanding of infrastructure – storage, networking etc.

Strong analytical problem-solving skills

Excellent written and verbal communication skills

Self-starter takes the initiative and works well under pressure

Business-minded approach to time, costs, and milestones

Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement

Must be very organized, able to balance multiple priorities, and self-motivated

Azure Certifications in Associate and Expert levels for Data Services preferred

Familiarity or experience with building AI/ML solutions

This position will be based in Cincinnati working in the Cincinnati area offices for a minimum of three days in the office with the other days being need based in office. In-person interviews will be conducted for candidate evaluation.

Key Responsibilities:

• Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
• Drive the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses
• Design, develop, and implement integrations based on user feedback.
• Collaborate with solution architects, cloud services, enterprise data management & product managers to iterate on the design & implementation of Fulfillment Services Data Strategy
• Design Azure-based technical architectures, migration approaches, and application optimizations that enable the Product
• Draft and review architectural diagrams, interface specifications and other design documents such as Architectural Decision Records
• Focus on overall product's data quality and user experience
• Build standards, processes and procedures to deliver best results
• Create data pipelines for various types of streaming use cases
• Be a technical advisor and troubleshoot to resolve technical challenges with data product related infrastructure and application(s)
• Promote the reuse of data assets, including the management of the data catalog for reference
• Mentor team members in data principles, patterns, processes and practices
• Implement automation tools and frameworks (CI/CD pipelines).
• Troubleshoot production issues and coordinate with the development team to streamline code deployment.
• Author and publish data governance models, data lineage and data dictionary for Fulfillment Services Data Catalog.