Senior Data Architect

This is a remote position.

• Data Engineering and Architecture: Provide data architecture expertise for enterprise applications, artificial intelligence, machine learning operations, and other technology initiatives.
  
• Digital Transformation: Create and execute strategies for migrating legacy data systems to modern platforms, supporting enterprise-wide digital transformations.
  
• Data Models and Dictionaries: Develop robust data models and dictionaries that align with internal data governance policies and classification guidelines.
  
• Cross-Functional Collaboration: Work closely with stakeholders across various teams to execute data programs and ensure alignment with business and technology strategies.
  
• Oversight and Leadership: Lead data engineering and operational tasks supporting firm-wide projects, offering guidance and management across multiple initiatives.
  
• Security and Compliance: Support data security initiatives and ensure compliance with data governance frameworks and regulatory requirements.
  
• Decision-Making: Tackle complex problems, challenge assumptions, and make high-impact decisions with limited information and uncertainty.
  
• Architecture and Integration: Design and implement modern data architectures using cloud platforms and a variety of database technologies, including relational, NoSQL, and cloud-based services (e.g., Azure, Snowflake, BigQuery).
  
• DevOps and Continuous Improvement: Oversee CI/CD and DevOps processes, including code reviews, ensuring high-quality data integration and development practices.
  

Requirements

• Proven experience as a Data Architect or Data Engineering Manager in large-scale enterprise environments.
  
• Extensive hands-on experience with data architecture, data modeling, and database technologies, including relational databases (SQL Server, Oracle, MySQL), NoSQL databases (MongoDB, CosmosDB), and cloud-based databases (Azure SQL, Databricks, Snowflake).
  
• Expertise in data integration and ETL patterns (batch, streaming, API/microservices) and hands-on experience with tools like ADF, Synapse, and Databricks.
  
• Ability to design conceptual, logical, and physical data models for efficient data storage and analysis.
  
• Knowledge of data governance frameworks, ensuring data quality, integrity, and security in compliance with regulatory standards.
  
• Strong leadership skills with the ability to manage multiple projects and stakeholders.
  
• Familiarity with CI/CD and DevOps processes.
  
• Experience with GenAI/LLM and MLOps/AIOps technologies is a plus.
  

Benefits

1. Application Review: Submit your application, including your resume and cover letter, through our online portal. Our team will carefully review your qualifications and experiences. We take pride in responding promptly, so if your application aligns with our current opportunities, you’ll hear back from us with next steps. Your journey with Toast begins here, and we’re excited to see what you bring to the table!
   
2. Vetting Call: If your application is successful, we’ll schedule a vetting call with a member of the Toast team. This 30-45 minute informal conversation is designed for us to get to know you better and assess your skills. Be prepared to discuss your past projects, the challenges you’ve tackled, and the impact you’ve made. This is your chance to shine and show us why you’re a great fit for the roles we offer.
   
3. Profile Creation: Once you’ve impressed us in the vetting call, we’ll create an unbiased profile that highlights your experience while minimizing common biases. Instead, we focus on your skills, industry experience, and the impact you’ve made. This way, your profile reflects your true potential and accomplishments.
   
4. Client Submission: After crafting your unbiased profile, we submit it to our trusted clients. We work closely with these clients to ensure they understand the value you bring. Throughout their interview process, we remain by your side, providing support and guidance. Our goal is to help you navigate the hiring process smoothly and confidently, ensuring you have the best chance to secure a role that fits your skills and aspirations.