Technical Lead

What you'll do

• Design, develop, and maintain robust, scalable, and secure data pipelines and platforms across AWS, Azure, and GCP
• Write high-quality, maintainable code in Python and SQL; implement ETL/ELT processes and data transformations
• Collaborate with solution architects to implement approved data architectures and provide development-level design inputs
• Support pre-sales efforts by contributing to technical inputs, building PoCs, demos, and solution prototypes
• Implement data quality checks, governance standards, security controls, and compliance requirements
• Work closely with cross-functional teams to understand requirements and translate them into technical implementations
• Guide and mentor junior developers, conduct code reviews, and promote best practices
• Stay current with emerging cloud, data engineering, and AI technologies and recommend improvements

Requirements

• 7–10 years of hands‑on experience in data engineering and development roles
• Strong hands-on experience with AWS and/or Azure and/or GCP data services (any 2 cloud experience mandatory)
• Solid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures
• Strong Python development skills for data engineering, automation, orchestration, and solution prototyping
• Experience working with SaaS-based data platforms (e.g., Databricks, Snowflake, managed analytics services)
• Experience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent
• Practical knowledge of data governance, security, access control, and compliance in cloud environments
• Basic exposure to Agentic AI concepts like AI-driven automation, data orchestration, or intelligent workflow augmentation
• Ability to design, build, and optimize scalable and high-performance data pipelines
• Experience in query optimization, performance tuning, and cost optimization across cloud data platforms
• Hands-on experience supporting analytics, BI, and downstream consumption layers
• Strong verbal and written communication skills
• Ability to explain complex technical concepts to non-technical audiences
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field
• Certifications: Any two of AWS Data Analytics / Solutions Architect, Azure Data Engineer Associate, GCP Professional Data Engineer; Databricks, Snowflake, or other cloud data platform certifications are a plus

Tech stack