Data Architect job opportunity at Endpoint Clinical.

Home Jobs In India Tag: Technical Operations – 474 COGS - Data Solutions Data Architect position at Endpoint Clinical


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Endpoint Clinical Data Architect
Experience: 15 Years
Pattern: hybrid
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Technical Operations,474 COGS - Data Solutions

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degreeBachelor's (B.Sc.)
loacation India, India
loacation India....India

We are seeking a Data Solutions Architect with 15+ years of 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.\nResponsibilitiesArchitect 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.Experience15+ 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.SkillsClinical trial data standards (CDISC: CDASH, SDTM, ADaM) and systems (EDC, CTMS, IRT).Familiarity with decentralized trials, real-world data (RWD/RWE), and regulatory compliance frameworksStrong stakeholder management and communication skills.Ability to translate complex technical concepts into business value.Leadership in cross-functional teams and mentoring engineers.EducationBachelor’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.\n

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