Quick overview
Job description
Sr Data Architect
JOB DETAILS:
- This is not a contract-to-hire role
- This role is required to abide by AZ core working hours (9am-4pm, AZ time)
- AZ local is preferred
PRINCIPLE RESPONSIBILITIES:
- Solution Architecture: Design end-to-end technical solutions for the platform modernization initiative, ensuring alignment with enterprise data architecture standards.
- Standards and Governance: Apply existing architecture standards where appropriate and define new patterns where gaps exist, such as Streamlit application deployment and CI/CD practices.
- Cloud and Infrastructure as Code: Design and build modular, multi-environment AWS infrastructure using Terraform to support computing, storage, and orchestration needs.
- CI/CD Engineering: Build and maintain reusable, secure deployment pipelines using GitHub Actions for data pipelines and application deployments.
- Monitoring & Observability: Design monitoring, auditing, and alerting mechanisms across the pipeline and infrastructure to ensure reliability, traceability, and rapid issue detection.
- Data Platform Modernization: Lead the technical approach for migrating legacy processes and Informatica PowerCenter/IICS to dbt-core and Snowflake while restructuring models into bronze, silver, and gold layers.
- Documentation: Maintain clear architecture diagrams, design decisions, runbooks, and technical documentation for the platform, ensuring knowledge is accessible and current for engineers and stakeholders.
- Technical Leadership: Review code and pull requests, participate in daily meetings, sprint ceremonies and shape deliverables, and serve as a technical escalation point across the modernization initiative.
QUALIFICATIONS
- 5+ years of experience in a senior data or software architecture role, with production experience across cloud infrastructure, data platforms, and application development.
- 5+ years of experience with legacy ETL/ELT platforms such as Informatica PowerCenter or IICS, with the ability to analyze & translate existing mappings/workflows.
- Strong hands-on experience with building/supporting dbt-core and Snowflake
- Experience with building components for medallion architecture, including bronze, silver, and gold data layers.
- Proficiency in Python, with experience building or supporting web applications such as Streamlit.
- Strong hands-on experience with Infrastructure as Code for modular, multi-environment cloud infrastructure.
- Experience with CI/CD platforms and modern DevOps practices.
NICE TO HAVE / BONUS SKILLS (NOT MANDATORY)
- Understanding machine learning concepts and how ML workflows integrate with data platforms.
- Experience with data product design and delivery, including treating datasets and pipelines as consumable products.
- Data modeling skills beyond medallion architecture layers, including dimensional modeling and star schema design.
- Knowledge of R scripting, Snowflake/AWS certifications
TECHNOLOGY STACK
Snowflake, dbt-core, Streamlit, AWS, Terraform, GitHub, GitHub Actions, CI/CD, Python, SQL Server, Informatica Powercenter/IICS. Equivalent experience with comparable tools and platforms will also be considered.
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