Technical Lead, DWH, Sql

Job Summary

We are seeking a highly skilled and motivated Tech Lead to lead the design, development, and delivery of data-driven solutions aligned with organizational goals. This hybrid role combines technical leadership and people management, requiring expertise in Database technologies, Python, and AI/ML concepts.

The role involves managing end-to-end project delivery and ensuring alignment with business strategy while fostering innovation in data and AI initiatives.

Responsibilities

• Lead and deliver multiple concurrent data and AI-driven projects within scope, schedule, and budget.
• Own the full project lifecycle: initiation, planning, execution, monitoring, and closure.
• Serve as the single point of contact for assigned projects, ensuring clear communication with stakeholders.
• Drive Agile methodologies to enhance delivery efficiency and adaptability.
• Manage and mitigate risks, dependencies, and issues, ensuring timely resolution.
• Provide hands-on technical leadership and people management
• Guide architecture decisions and ensure alignment with enterprise data strategy.
• Drive adoption of AI/ML solutions to support business goals (predictive analytics, automation, analytics use cases).
• Ensure best practices in code quality, data governance, performance tuning, and security.
• Identify opportunities to leverage AI/ML technologies to improve business processes and decision-making.
• Lead, mentor, and manage a team of data engineers, developers, and analysts.
• Perform performance management, coaching, and career development of team members.
• Allocate resources effectively across projects in a matrix environment.
• Foster a culture of collaboration, innovation, and accountability.

Qualifications

• Bachelor s degree in computer science, Engineering, or related field (or equivalent experience).

Technical Skillsets

• 10+ years of Strong expertise in:
• Database technologies (Snowflake preferred); Database design, development, and optimization
• Python programming
• Data engineering, Data pipelines, ETL/ELT frameworks, and data modeling
• Python-based data engineering and automation solutions
• Experience in ETL development using PowerCenter, Data Stage, AWS preferred or any other ETL tool
• Strong capabilities in SQL development on any of the large-scale data platforms: Snowflake, Databricks, Redshift, SQL Server, etc.
• Understanding of SQL table structure and DDL - primary foreign keys, required columns, naming and data typing standards - and why they are important.
• General understanding of Data Warehousing technology, ETL processes - facts, dimensions, star and snowflake schemas, data warehouse schema layers, SCD
• Exposure to AI/ML concepts and implementations in business contexts.

Other Requirements

• Proven experience in Agile delivery methodologies (Scrum/Kanban).
• Experience managing distributed teams (onshore/offshore model).
• Strong understanding of business-to-technology translation.
• Strong leadership and people management skills
• Excellent communication and stakeholder management
• Ability to balance technical depth with strategic thinking
• Proactive, self-driven, and solution-oriented mindset
• Strong analytical and problem-solving skills
• Innovation-driven with focus on continuous improvement

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.