Azure Lakehouse Architect & Data Platform Lead

Integra

Dallas (TX)

On-site

USD 140,000 - 180,000

Full time

3 days ago

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Benefits offered by this job

Competitive pay

Healthcare coverage

Life and disability insurance

Flexible benefits

Generous PTO

Education assistance

Job summary

Integra seeks a Senior Data Engineer / Data Architect to design and evolve a modern Azure-based Lakehouse platform. You will unify data across ERP, scheduling, construction management, manufacturing, HR, and CRM, delivering trusted data products for ERP modernization, reporting, and analytics.

You will lead architecture while also contributing hands-on with Fabric, Azure Databricks, data integration, governance, and observability, ensuring scalable, cost-conscious solutions across enterprise

Qualifications

Bachelor's degree or equivalent professional experience in Computer Science, Information Systems, Data Engineering, or related field.
8+ years of experience in Data Engineering or Data Architecture.
Proven experience designing and implementing enterprise-scale cloud data platforms and lakehouse architectures.
Strong hands-on experience with Azure data services, SQL, Python, PySpark, Spark, Delta Lake, Parquet, and ETL/ELT design.
Experience with Microsoft Fabric and/or Azure Databricks, including governance and semantic modeling.
Ability to integrate data from multiple enterprise applications and domains.

Responsibilities

Define and maintain enterprise data architecture standards, best practices, and reusable patterns.
Design scalable Bronze/Silver/Gold Lakehouse architectures and enterprise semantic models.
Develop canonical data models spanning ERP, CRM, scheduling, construction management, HR, and more.
Establish standards for data integration, metadata, lineage, data quality, governance, and security.
Design and implement metadata-driven ingestion and processing frameworks for diverse data sources.
Build scalable ELT pipelines, CDC, incremental loading, reconciliation, and auditing.
Implement monitoring, observability, and operational support across the data platform.
Optimize platform performance, scalability, reliability, and cloud cost management.
Design and implement Lakehouse solutions using Microsoft Fabric and/or Azure Databricks.
Collaborate with stakeholders to translate requirements into scalable data solutions.