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Mid LevelFull-timePythonAzureMachine LearningData ScienceCI/CDGitML
Salary Range
$20,400 - $27,600 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Solutions Architect with extensive experience in designing enterprise-scale data platforms. This role focuses on building Azure + Databricks Lakehouse solutions for clinical trial and life sciences data, enabling advanced analytics, machine learning workflows, and regulatory compliance.
Key Responsibilities
- →Architect Lakehouse solutions leveraging Azure Data Lake (ADLS Gen2), Databricks, and Delta Lake.
- →Design data models (star, snowflake, data vault), ingestion pipelines, and CDC strategies with schema evolution and performance tuning.
- →Implement data governance, security, and compliance aligned with GxP, HIPAA, and 21 CFR Part 11.
- →Enable data science and ML workflows using MLflow, Feature Store, and curated datasets.
- →Collaborate with clinical operations and biometrics teams to deliver business-aligned solutions.
Requirements
- ✓15+ years in data architecture/engineering; 5+ years with Azure; 3+ years with Databricks.
- ✓Azure Expertise: ADLS Gen2, Data Factory/Fabric pipelines, Synapse/SQL, Event Hubs, Functions, Key Vault, Private Endpoints, VNets.
- ✓Databricks Expertise: Spark (PySpark/SQL), Unity Catalog, Delta Live Tables (DLT), Workflows, MLflow, Feature Store.
- ✓Data Modeling: Star/snowflake, data vault, CDC, schema evolution, performance tuning.
- ✓Programming: PySpark, SQL; bonus: Python (pandas), Scala, dbt.
- ✓Governance & Security: IAM/RBAC/ABAC, row/column-level security, encryption, masking/tokenization, secrets, audit.
- ✓Observability & Reliability: Monitoring, lineage, alerting, CI/CD (GitHub Actions/Azure DevOps), automated testing/validation.
- ✓Education: Bachelor’s/Master’s in Computer Science, Data Engineering, or related field.
- ✓Certifications: Azure Data Engineer (DP-203), Databricks Architect, Azure Solutions Architect (AZ-305), GxP/CSV.
