Technical Lead, Data Platforms (Python)-Full Time- Remote

Company: A.T. Consulting & Recruiting Inc.

Technical Lead, Data Platforms (Python)-Full Time- Remote
On behalf of our client, a US-headquartered global AI-enabled market research and advisory firm, we are hiring for full-time position for Technical Lead, Data Platforms (Python)
Please review the requirements below and, if interested, share your updated resume at your earliest convenience.
Technical Lead – Python & Data Platforms who combines deep technical expertise with strong leadership capabilities to guide the design and delivery of scalable, data-driven systems.
This is a hands-on leadership role, responsible for both technical direction and active development. You will lead the architecture and implementation of Python-based applications and data platforms that power analytics, automation, and insight generation across Escalent.
You will serve as a technical authority and team lead, mentoring engineers, establishing best practices, and driving delivery excellence while remaining closely engaged in coding, system design, and complex problem-solving.
Key Responsibilities
Technical Leadership & Platform Development
* Lead the design, development, and deployment of Python-based applications and data platforms
* Own technical architecture, design patterns, and coding standards across Python services and data workflows
* Design and build scalable data pipelines, APIs, and platform components supporting analytics and business applications
* Contribute directly to hands-on development, debugging, and complex system design
* Guide development of data-intensive and ML-enabled solutions, including analytics, automation, and insight-generation tools
Data Platform & Engineering Excellence
* Architect and optimize data pipelines and processing frameworks (batch and/or near-real-time)
* Ensure efficient integration across structured and unstructured data sources
* Establish best practices for data quality, governance, scalability, and observability
* Partner closely with Data Science and Analytics teams to productionize models and workflows
Team Leadership & Delivery
* Lead and mentor a small team of engineers, providing coaching, feedback, and career development
* Drive code quality through reviews, testing standards, and engineering discipline
* Partner with Product and Delivery leadership on sprint planning, backlog prioritization, and capacity alignment
* Ensure predictable delivery, balancing speed, quality, and technical sustainability
* Foster a culture of accountability, collaboration, and continuous improvement
Cross-Functional Collaboration
* Work closely with Product, QA, DevOps, Data Science, and Infrastructure teams
* Translate business requirements into scalable, maintainable technical solutions
* Communicate technical concepts effectively to both technical and non-technical stakeholders
Quality, Standards & Continuous Improvement
* Champion best practices in:CI/CD and automated testing
* Performance, scalability, and observability
* Secure coding and system reliability
* Stay current with evolving technologies in Python ecosystems, cloud platforms, and data engineering tools
* Drive improvements in development processes, tooling, and platform efficiency
Required Qualifications
* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
* 8–12 years of professional software engineering experience, including experience in a hands-on Technical Lead or senior engineering role
* Strong expertise in:Python and modern frameworks (e.g., FastAPI, Django, Flask)
* Object-Oriented Programming and software design principles
* Proven experience designing and delivering scalable, production-grade systems and data platforms
* Strong knowledge of:Data pipelines, ETL/ELT processes, and data architecture concepts
* REST APIs, microservices, and distributed systems
* SQL and NoSQL databases (PostgreSQL, MongoDB, etc.)
* Experience with cloud platforms (AWS, Azure, or GCP)
* Experience working in Agile development environments
* Demonstrated experience mentoring engineers and influencing technical direction
* Strong communication and stakeholder management skills
Preferred / Nice-to-Have Qualifications
* Experience with:Data engineering tools (e.g., Airflow, Spark, or similar frameworks)
* Machine learning workflows or model deployment
* Containerization (Docker) and orchestration tools
* CI/CD pipelines and DevOps practices
* Exposure to:Data visualization or reporting frameworks
* AI/ML-enabled platforms or automation solutions
* Familiarity with domains such as market research, analytics platforms, or data-intensive applications
We offer:
* Equal opportunity employment, applicants of all ages and lifestyles welcome
* Salary Range
* 140,000 To 180,000 Per Year
* A benefit package that includes medical, dental and life insurance coverage
* Remote-first (virtual) employment
* Equipment & LinkedIn Learning License for all employees

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