Senior Data Engineering Lead jobs in United States
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COMMSERVE TECHNOLOGIES INC · 15 hours ago

Senior Data Engineering Lead

COMMSERVE TECHNOLOGIES INC is seeking an experienced Senior Data Engineering Lead to drive enterprise data platform architecture and lead data engineering initiatives. This role involves mentoring a growing team of engineers while ensuring high data quality and compliance with healthcare industry standards.

Computer Software

Responsibilities

Lead, mentor, and develop a high-performing data engineering team
Provide technical guidance, architectural oversight, and code reviews
Establish engineering best practices, standards, and governance frameworks
Foster collaboration across engineering, analytics, BI, and business teams
Drive knowledge sharing, technical upskilling, and continuous improvement
Design, implement, and maintain scalable data pipelines across cloud and hybrid environments
Architect modern lakehouse /data warehouse solutions using Azure and Databricks
Develop robust ETL/ELT frameworks ensuring reliability, performance, and scalability
Lead integration of data from enterprise systems, SaaS platforms, APIs, and on-premises sources
Define data models optimized for analytics, reporting, and advanced analytics use cases
Implement enterprise-grade data governance using Databricks Unity Catalog
Establish data lineage, access controls, metadata management, and security policies
Ensure compliance with healthcare security and regulatory standards where applicable
Build data quality monitoring, observability, and reliability frameworks
Develop long-term data platform strategy aligned with organizational goals
Drive cloud data modernization and optimization initiatives
Collaborate with business stakeholders to translate requirements into scalable solutions
Support BI and analytics teams with governed, high-quality datasets

Qualification

Azure Data FactoryAzure DatabricksETL/ELT developmentData governanceAzure Data Lake StorageAzure Synapse AnalyticsData warehousingPythonSQLSparkJSONAgile environmentsDevOpsCI/CD pipelinesVersion control toolsStakeholder communicationMentoring teams

Required

Strong hands-on experience with Azure Data Factory
Strong hands-on experience with Azure Data Lake Storage
Strong hands-on experience with Azure Databricks
Strong hands-on experience with Azure Synapse Analytics
Proven experience designing enterprise-scale data pipelines and lakehouse architectures
Mandatory expertise in Databricks Unity Catalog, including governance implementation, lineage tracking, access control policies, and metadata management
Strong experience in ETL/ELT development, data warehousing, and dimensional data modeling
Advanced proficiency in Python, SQL, Spark, JSON, and modern data engineering frameworks
Experience integrating enterprise systems such as ERP, CRM, and healthcare/SaaS platforms where applicable
Solid understanding of data governance, security protocols, RBAC, data lineage, and data quality practices
Experience working in Agile environments with DevOps, CI/CD pipelines, and version control tools (Git, Jenkins, Jira)
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field

Preferred

Experience in healthcare, diagnostics, or regulated data environments
Experience implementing large-scale cloud data modernization programs
Exposure to real-time data pipelines, streaming platforms, and API-driven architectures
Experience with BI/visualization tools such as Power BI, Tableau, or similar platforms
Strong stakeholder communication and consulting experience
Experience mentoring distributed or global teams

Company

COMMSERVE TECHNOLOGIES INC

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CommServe Technologies Inc is a global provider of ITES support, cybersecurity solutions, staffing services, enterprise application support, and PMO consulting.

Funding

Current Stage
Early Stage
Company data provided by crunchbase