Sr. Data Architect – Azure Databricks - Onsite - Locals to TX

***WebCam Interview*** 6Months Project***LinkedIn Must *** Onsite (5days onsite per week) at Dallas,TX *** Only LOCAL to Texas Area candidates ***

Key Responsibilities:-

• Define target Azure data platform architecture (Lakehouse / Modern Data Warehouse) aligned with enterprise standards.
• Lead architectural decisions across data ingestion, storage, processing, semantic/consumption, security, and governance layers.
• Create architecture artifacts including reference architectures, solution blueprints, data flows, and integration patterns.
• Architect and guide implementation of Azure Databricks workloads (batch and streaming) using Apache Spark (PySpark/Spark SQL) and Delta Lake.
• Define standards for notebooks, repositories, modular frameworks, job orchestration, error handling, and reprocessing strategies.
• Drive performance tuning and cost optimization strategies including partitioning, caching, joins, and cluster design.
• Define analytics-ready data modeling approaches (dimensional modeling, Data Vault, curated data marts).
• Establish canonical data definitions, KPI standardization, and reusable datasets for BI and analytics.
• Architect data ingestion and orchestration frameworks using Azure services such as Azure Data Factory, Synapse Pipelines, Event Hubs/Kafka, and API ingestion patterns.
• Design scalable pipelines for structured and semi-structured data (JSON, Parquet, Delta).
• Implement data governance standards including cataloging, lineage, PII protection, retention, encryption, and auditing.
• Establish data quality and observability frameworks including monitoring, logging, alerting, and SLA/SLO definitions.
• Implement CI/CD pipelines for data platform assets using Azure DevOps and Git.
• Lead architecture discussions and collaborate with business, engineering, security, and platform teams.

Required Skills :- 

• 15–18 years in Data & Analytics.
• 10+ years as ETL / Data Architect.
• 5–6 years as Azure Data Architect
• 5–6 years as Delta Lake, Azure Data Factory, ADLS, Azure Synapse, 
• 5–6 years as Data Architecture, Data Modeling, Data Governance.
• 5–6 years as CI/CD with Azure DevOps.
• 5–6 years as Distributed Data Processing.
• 5–6 years as Enterprise Data Platform Design.
• 5–6 years as Apache Spark (PySpark / Spark SQL),