Technical Lead - Data Accelerators & Reusable Frameworks

Anblicks; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Anblicks is seeking a Technical Lead to build and scale the reusable asset base for our data modernization practice: accelerators, playbooks, runbooks, and estimation aids distilled from completed modernization engagements, adopted across every delivery team.

The role focuses on consolidating learnings into reusable accelerators, authoring playbooks, and enabling delivery pods with AI-assisted practices to improve project delivery across teams.

Qualifications

• 10+ years in data engineering with at least one full modernization lifecycle delivered end to end.
• Strong dbt/Snowflake engineering within data platform modernization programs, including AI-enabled and accelerator-driven delivery, migration planning, data validation and reconciliation strategies, parallel runs, and cutover execution.

Responsibilities

• Consolidate delivery learnings into reusable accelerators: discovery tooling, code generation frameworks, converters, validation patterns.
• Author delivery playbooks and runbooks; drive adoption across delivery teams and measure reuse.
• Enable and train delivery pods on accelerators and AI-assisted engineering practices.

Skills

Data engineering

Modernization

Framework building

Training teams

AI-enabled delivery

Tools

dbt

Snowflake

Job description

Job Description: Technical Lead - Data Accelerators & Reusable Frameworks | Offshore, India | 10+ years

Anblicks is seeking a Technical Lead to build and scale the reusable asset base for our data modernization practice: accelerators, playbooks, runbooks, and estimation aids distilled from completed modernization engagements, adopted across every delivery team.

Key Responsibilities

• Consolidate delivery learnings into reusable accelerators: discovery tooling, code generation frameworks, converters, validation patterns.
• Author delivery playbooks and runbooks; drive adoption across delivery teams and measure reuse.
• Enable and train delivery pods on accelerators and AI-assisted engineering practices.

Qualifications

• 10+ years in data engineering with at least one full modernization lifecycle delivered end to end.
• Strong dbt/Snowflake engineering within data platform modernization programs (legacy to modern cloud platforms), including AI-enabled and accelerator-driven delivery, migration planning, data validation and reconciliation strategies, parallel runs, and cutover execution.
• Framework-building and documentation aptitude; able to train and enable teams.
• MarTech exposure preferred for customer-data accelerator work; developer tooling/automation a plus.