Technical Lead – Python & Databricks

Role Overview :

We are seeking a highly capable and hands-on Tech Lead / Vibe Coder with strong expertise in Python, Databricks, Data
Pipelines & ETL workflows, cloud-based data engineering, and AI-assisted software engineering. In this role, you will work
directly with stakeholders, architect scalable data solutions, solve complex business challenges, and independently deliver
solutions using modern AI-driven workflows.

Key Expectations & Technical Scope :

1. AI-First Engineering & Vibe Coding Workflow
   Daily hands-on usage of AI tools for coding, pipeline development, debugging, architecture, testing, documentation, and
   solution delivery.
   Strong exposure to AI-assisted development workflows, coding copilots, automated engineering agents, and orchestration
   tools.
   Good understanding of AI agentic architecture, orchestration concepts, and modern AI engineering ecosystems.
   Ability and willingness to independently build and deliver scalable solutions using AI-enhanced workflows.

2. Technical Leadership & Stakeholder Management
   Work directly with stakeholders, product teams, analysts, and clients to understand and refine business and datarequirements.
   Lead technical discussions, architecture planning, estimations, and delivery execution.
   Take ownership of end-to-end solution delivery, technical decision-making, and engineering quality.
   Mentor engineers and collaborate across technical and business teams with strong ownership and execution discipline.

3. Data Engineering & Architecture
   Design, build, and optimize scalable data pipelines and ETL/ELT workflows using Python, Databricks, PySpark, and Spark SQL.
   Develop robust data processing systems handling structured and unstructured datasets across cloud environments (AWS / Azure / GCP).
   Build reliable data ingestion, transformation, validation, and monitoring workflows.
   Experience integrating data from APIs, databases, files, and external systems with strong distributed processing knowledge.

Required Qualifications & Background :

Education: Bachelor’s degree (4 years) or higher in Computer Science, Data Engineering, Software Engineering, or related quantitative field.
Experience: 4+ years of progressive experience in Python-based software or data engineering with strong Databricks expertise.
Technical Exposure: Databricks, PySpark / Spark SQL, Data Warehousing, ETL/ELT pipeline design, Cloud platforms (AWS / Azure / GCP), Workflow orchestration tools, APIs and data integrations, Monitoring and observability.
Core Mindset: AI-native engineering mindset, strong execution capability, ownership, adaptability, and passion for scalable data platforms.