Data Migration Lead

Accenture; Hyderabad; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Accenture in Hyderabad seeks a Data Migration Lead to oversee planning and execution of data migration projects, ensuring data accuracy and completeness during transit to the target system.

You will coordinate cross-functional teams, establish controls, monitor progress, and manage risks, with a focus on data governance and operational readiness throughout the migration.

Qualifications

• 7.5+ years of experience in Databricks Unified Data Analytics Platform.
• Strong experience in leading large-scale data migration projects.
• Exposure to PySpark is desirable.
• 15 years of full-time education required.

Responsibilities

• SME level expertise, collaborate and guide the team to perform.
• Make team decisions and coordinate across multiple teams.
• Engage with stakeholders and contribute to key migration decisions.
• Develop and implement migration plans aligning with goals and timelines.
• Monitor migration progress and data quality against standards.
• Facilitate knowledge sharing and skill development within the team.
• Support junior members by guiding and resolving challenges.

Skills

Data migration leadership

Cross-functional coordination

Risk management

Education

15 years full time education

Tools

Databricks Unified Data Analytics Platform

PySpark

Job description

Project Role :

Data Migration Lead

Project Role Description :

Lead the planning and execution of data migration to ensure data is accurate, complete, and ready for use in the target system. Coordinate teams, define migration approach and controls, and manage risks to ensure a smooth and reliable transition.

Must have skills :

Databricks Unified Data Analytics Platform

Good to have skills :

PySpark

Minimum 7.5 year(s) of experience is required

Educational Qualification :

15 years full time education

Summary:

As a Data Migration Lead, a typical day involves overseeing the comprehensive planning and execution of data migration activities to guarantee that data is transferred accurately and completely. This role requires coordinating multiple teams to align on migration strategies, establishing controls to monitor progress, and proactively managing risks to ensure a seamless transition to the target system. The position demands continuous communication and collaboration across various stakeholders to maintain data integrity and support operational readiness throughout the migration process.

Roles & Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Develop and implement migration plans that align with organizational goals and timelines.
• Monitor migration progress and quality, ensuring adherence to defined standards and controls.
• Facilitate knowledge sharing and skill development within the team to enhance overall performance.
• Support junior team members by providing guidance and resolving technical challenges.

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, PySpark.
• Good To Have Skills: Experience with PySpark.
• Strong expertise in managing large-scale data migration projects using modern data analytics platforms.
• Ability to design and implement data validation and reconciliation processes to ensure data accuracy.
• Experience in coordinating cross-functional teams and managing stakeholder expectations effectively.
• Familiarity with data governance principles and risk management practices in data migration contexts.

Additional Information:

• The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
• This position is based at our Hyderabad office.
• A 15 years full time education is required.

15 years full time education

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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