Senior Lead Data Engineer
Experience: 15+ Years (Data Engineering, Cloud Data Platform & Architecture Experience)
Employment Type: Full-Time (W2 Only)
Location: USA (Hybrid / Onsite)
Work Authorization: H4 EAD, L2S, GC EAD, Green Card, US Citizen
Job Summary
We are seeking a highly accomplished Senior Lead Data Engineer to lead the architecture, design, development, and modernization of enterprise-scale data platforms. The ideal candidate will possess deep expertise in Cloud Data Engineering, Data Architecture, Big Data Technologies, ETL/ELT Frameworks, Data Warehousing, Lakehouse Platforms, and Distributed Data Processing, along with proven leadership experience driving enterprise data transformation initiatives.
This role requires ownership of data platform architecture, cloud modernization, large-scale data processing, data governance, performance optimization, and engineering excellence across enterprise environments.
Key Responsibilities
Lead the design and implementation of enterprise-scale cloud data platforms supporting analytics, reporting, AI/ML, and business intelligence initiatives.
Architect and develop scalable ETL/ELT frameworks, Data Lakes, Data Warehouses, and Lakehouse solutions.
Design high-performance data pipelines supporting batch, near real-time, and streaming workloads.
Lead cloud migration and modernization initiatives across Azure, AWS, or GCP environments.
Define enterprise standards for data architecture, engineering practices, governance, and platform scalability.
Build and optimize distributed data processing frameworks using modern big data technologies.
Collaborate with Data Architects, Data Scientists, BI teams, Product Owners, and executive stakeholders.
Implement robust monitoring, observability, alerting, and data quality frameworks.
Drive performance tuning, cost optimization, workload management, and platform reliability initiatives.
Mentor and lead Data Engineering teams while conducting architecture reviews and technical governance.
Ensure enterprise compliance, security, data lineage, metadata management, and operational excellence.
Required Technical Skills
Data Engineering & Architecture
Data Engineering
Data Architecture
ETL / ELT Development
Data Integration
Data Modeling
Data Warehousing
Data Lake Architecture
Lakehouse Architecture
Enterprise Data Platforms
Programming & Big Data
Python
PySpark
Spark SQL
SQL
Apache Spark
Hadoop Ecosystem
Distributed Data Processing
Cloud Data Platforms
Microsoft Azure
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Azure Data Factory (ADF)
Azure Databricks
Azure Synapse Analytics
AWS Glue
AWS Redshift
Snowflake
Microsoft Fabric (Preferred)
Data Storage Technologies
Azure Data Lake Storage (ADLS Gen2)
Amazon S3
Delta Lake
SQL Server
PostgreSQL
Oracle
MongoDB
Streaming & Real-Time Processing
Apache Kafka
Azure Event Hubs
Spark Streaming
Real-Time Data Pipelines
DevOps & Automation
Azure DevOps
Git
CI/CD Pipelines
Jenkins
GitHub Actions
Terraform
Infrastructure as Code (IaC)
Governance & Data Quality
Data Governance
Data Lineage
Metadata Management
Master Data Management (MDM)
Data Quality Frameworks
Monitoring & Alerting
Security & Compliance
Leadership & Architecture Expectations
Proven experience leading enterprise Data Engineering teams and large-scale cloud transformation initiatives.
Strong expertise in architecting scalable and highly available cloud-native data platforms.
Experience defining engineering standards, architecture frameworks, and governance processes.
Ability to translate business requirements into enterprise-level data solutions.
Strong stakeholder management, executive communication, and leadership capabilities.
Experience mentoring engineers and driving technical excellence across organizations.
Preferred Qualifications
Experience with Databricks Lakehouse Platform and Delta Lake.
Exposure to AI/ML, GenAI, and advanced analytics platforms.
Azure, AWS, Databricks, Snowflake, or Fabric Certifications.
Experience in BFSI, Healthcare, Insurance, Retail, Telecom, or Financial Services domains.
Strong understanding of enterprise architecture and cloud modernization strategies.
Eligibility & Compliance
W2 Full-Time Only
No C2C
No Consultancy or Vendor Profiles
How to Apply
📩 Share your updated resume to:
[email protected]

Senior Lead Data Engineer

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