Data Architect
- Architect and maintain enterprise data models, schemas, and integration strategies.
- Design and optimize cloud-based data warehouses, lakes, and pipelines.
- Partner with product and engineering teams to embed data solutions into SaaS applications.
- Define and enforce governance standards around data quality, security, and privacy.
- Support advanced analytics, BI, and machine learning use cases.
- Guide the selection of tools, platforms, and frameworks for scalable data solutions.
- Troubleshoot, optimize, and monitor system performance across distributed environments.
- Mentor engineers and analysts on best practices in data architecture.
- Stay current on emerging trends in cloud data platforms, AI/ML integration, and compliance standards.
- Bachelor's degree in Computer Science, Information Systems, or related field.
- 6+ years of experience in data architecture, engineering, or related roles.
- Hands-on experience building in Snowflake (Snowpipe, Streams/Tasks, dbt, or similar)
- Proven experience designing and maintaining data warehouses and/or data lakes.
- Hands-on expertise with SQL and modern ETL/ELT frameworks.
- Strong experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of data modeling techniques (relational, dimensional, NoSQL).
- Familiarity with data governance, privacy, and compliance frameworks.
- Excellent communication and collaboration skills.
- Master's degree in Data Science, Information Systems, or related field.
- 8+ years in senior-level data architecture or engineering roles.
- Expert-level SQL and solid Python for ETL/ELT
- Experience with AWS services (Redshift, Glue, Lambda, S3) or Azure Synapse.
- Background in SaaS, LMS, training platforms, or EHS/Food Safety tech.
- Familiarity with integrating AI/ML models into data pipelines.
- Knowledge of SCORM, xAPI, HIPAA, GDPR, or other data privacy standards.
- Experience with Docker, Kubernetes, and scaled Agile (SAFe).
- AWS Certified Solutions Architect or equivalent certification.
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