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Data Architect

2 months ago

Cincinnati, Ohio, United States LeadStack Inc. Full time
Job Title: Data Engineer

LeadStack Inc. is a leading provider of contingent workforce solutions, partnering with top Fortune 500 brands. We're seeking a skilled Data Engineer to join our team.

Job Summary:

We're looking for a highly motivated and experienced Data Engineer to design, develop, and deploy scalable cloud-based solution architectures. The ideal candidate will have expertise in creating lakehouses in Azure, building Realtime Streaming Analytics Platforms, and working with public cloud platforms such as AWS and Azure.

Key Responsibilities:
  • Design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise.
  • Collaborate with solution architects, cloud services, and product managers to iterate on the design and implementation of Fulfillment Services Data Strategy.
  • Design Azure-based technical architectures, migration approaches, and application optimizations that enable the Product.
  • 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).
Requirements:
  • Experience designing, building, and deploying scalable cloud-based solution architectures.
  • Expertise in creating lakehouses in Azure and building Realtime Streaming Analytics Platforms.
  • Experience working with public cloud platforms such as AWS, Azure.
  • Expertise in Python, SQL.
  • 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.
  • 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.
  • Familiarity or experience with building AI/ML solutions.

LeadStack Inc. is an equal opportunity employer and welcomes applications from diverse candidates. If you're passionate about data engineering and want to join a dynamic team, please submit your application.