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# Senior Technical Lead

- **Company:** HCL America Inc.
- **Location:** Brown, WV, United States
- **Experience:** Expert
- **Salary:** $148,000.0
- **Contract:** Temporary to permanent
- **Skills:** Agile Methodology, Artificial Intelligence, JIRA, Automation of Tests, Microsoft Azure, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Python (Programming Language), Performance Tuning, Power BI, DataOps, Azure Data Lake, SQL Databases, Azure Data Factory, Sql Optimization, Snowflake, Git, Data Pipelines, Devsecops, Servicenow, Control M
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8efe9c5be8d78e31

## About the Role

Performance tuning; data quality; observability; production support

Delivery

Git; CI/CD; automated testing; Agile delivery

Experience and Delivery Profile
10+ years of hands-on data engineering experience delivering production-grade pipelines and enterprise data products.
Proven ability to work independently, manage technical risks and dependencies, and deliver committed outcomes with minimal supervision.
Strong problem-solving, communication, and stakeholder collaboration skills in a fast-paced global environment.
Demonstrated focus on automation, scalability, maintainability, and measurable business value.
Preferred Experience
Power BI, semantic modeling, or analytics enablement.
Jira, Azure DevOps, ServiceNow, Control-M, or equivalent engineering and delivery tools.
AI-assisted development, agentic workflows, and modern data product architectures.
Commercial, customer, quality, field-service, or operational reporting data products.
Engagement Details

## Description

Seeking a hands-on Senior Data Engineer Consultant to rapidly design, build, and deploy scalable enterprise data products. The successful consultant will combine strong technical depth with a bias for action, end-to-end ownership, and disciplined delivery.

Core Responsibilities
Design, develop, test, review and support enterprise data pipelines using Snowflake, Azure Data Factory, Azure Data Lake Storage, SQL, and Python.
Build and optimize bronze, silver, and gold data products using scalable ETL/ELT, data modeling, orchestration, and data quality practices.
Translate business requirements into production-ready technical solutions, delivering from design through deployment and support.
Implement automated testing, CI/CD, DevSecOps, DataOps, monitoring, audit controls, and pipeline observability.
Troubleshoot UAT and Production issues, perform root-cause analysis, and implement sustainable fixes.
Create reusable engineering patterns and clear technical documentation; collaborate effectively in Agile teams with architects, product owners, engineers, and business stakeholders.
Comfortable using AI to develop using specs - design, code, build and review production grade pipelines.

Required Technical Skills

Platforms

Snowflake; Azure Data Factory; Azure Data Lake Storage

Engineering

Advanced SQL; Python; ETL/ELT; pipeline orchestration

Architecture

Data warehousing; dimensional modeling; medallion architecture


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