Senior Technical Lead

Infinite Computer Solutions; Maryland; On-site; USD 150,000 - 190,000; Full time

Job summary

Infinite Computer Solutions in Maryland seeks a hands-on Senior Technical Lead to drive the architecture, design, and delivery of enterprise data and analytics solutions. The ideal candidate will lead technical teams, define scalable architectures, and shepherd projects from inception through production deployment.

You will work with stakeholders, product owners, and engineers to translate requirements into robust data platforms leveraging Snowflake, Python, and AWS, with a focus on governance,

Qualifications

• 10+ years of experience in Data Engineering or related fields.
• 3+ years of experience leading technical teams and large-scale data initiatives.
• Hands-on Snowflake architecture, implementation, and optimization.
• Advanced Python development experience.
• Strong AWS experience (S3, Glue, Lambda, EMR, Athena).
• Experience with ETL/ELT and enterprise data integration.
• Knowledge of data governance, security, and data quality.

Responsibilities

• Lead end-to-end solution architecture, design, and delivery of data and analytics platforms.
• Design scalable, secure, high-performance solutions leveraging Snowflake, AWS, and Python.
• Review technical designs and ensure alignment with enterprise standards.
• Define data models, integration patterns, and governance strategies.
• Provide technical guidance and mentorship to development teams.
• Own delivery of complex data initiatives from requirements through deployment and support.
• Drive project planning, estimation, resource allocation, and execution management.
• Track milestones, dependencies, risks, and mitigation plans.
• Coordinate across business, product, architecture, QA, and engineering teams.
• Promote DevOps practices and code quality across teams.

Skills

Leadership

Stakeholder management

Mentorship

Project estimation

Communication

Data governance

Data quality

Education

Bachelor of Engineering/Technology

Tools

Snowflake

Python

AWS

ETL/ELT frameworks

Cloud-native data solutions

Job description

Job Description

We are seeking a highly skilled and hands-on Senior Technical Lead to drive the architecture, design, and delivery of enterprise data and analytics solutions. The ideal candidate will have strong expertise in Snowflake, Python, AWS, and modern data engineering practices, with the ability to lead technical team, define scalable architectures, and ensure successful project execution from inception through production deployment. This role requires a blend of technical leadership, solution design, and delivery accountability. The candidate will work closely with business stakeholders, product owners, architects, and engineering teams to translate business requirements into robust, scalable, and high-performing solutions.

Key Responsibilities

• Lead end-to-end solution architecture, design, and implementation of data and analytics platforms.


• Design scalable, secure, and high-performance solutions leveraging Snowflake, AWS, and Python.


• Review and approve technical designs, ensuring alignment with enterprise architecture standards and best practices.


• Define data models, integration patterns, data governance, security, and performance optimization strategies.


• Provide technical guidance and mentorship to development teams.

Delivery Leadership

• Own delivery of complex data and analytics initiatives from requirements through deployment and support.


• Drive project planning, estimation, resource allocation, and execution management.


• Track project milestones, dependencies, risks, and mitigation plans.


• Ensure solutions are delivered on time, within scope, and meet quality standards.


• Coordinate across business, product, architecture, QA, and engineering teams.

Data Engineering & Quality

• Perform requirements analysis and source system data profiling.


• Identify and resolve data quality and data integrity issues.


• Design and implement data ingestion, transformation, and reporting solutions.


• Establish standards for data validation, monitoring, and operational support.

Innovation & Continuous Improvement

• Drive adoption of AI-assisted development tools and modern engineering practices.


• Identify opportunities for automation, performance improvements, and cost optimization.


• Promote engineering best practices, code quality, and DevOps principles.

Required Qualifications

• 10+ years of experience in Data Engineering, Data Warehousing, or Solution Development.


• 3+ years of experience leading technical teams and large-scale data initiatives.


• Strong hands-on expertise in Snowflake architecture, implementation, and optimization.


• Advanced Python development experience.


• Strong AWS experience, including services such as S3, Glue, Lambda, EMR, Athena, and cloud-native data solutions.


• Experience with ETL/ELT frameworks, and enterprise data integration.


• Strong understanding of data governance, security, and data quality practices.


• Experience in project estimation, planning, and delivery management.


• Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications

• Health Insurance or Healthcare domain experience.


• Experience with Claims, Member, Provider, Clinical, Care Management, or Value-Based Care data domains.


• Exposure to AI development.


• Experience leading distributed and offshore development teams.

Ideal Candidate

A hands-on technical leader who can design enterprise-scale solutions, lead development teams, make architectural decisions, and take full accountability for successful delivery, while effectively collaborating with business and technology stakeholders in a fast-paced environment.

Qualifications

B.E/ B Tech

Range Of Year Experience (Min)

10

Range Of Year Experience (Max)

15