Senior Manager

EXL

Oversee organizational data engineering solutions and lead initiatives aligned with company goals. Provide strategic guidance while managing data integration processes and team members.

Posted 6/18/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AirflowAzureETLMatillionSQLSSIS

About the role

Key responsibilities & impact

Oversee organizational data engineering solutions.
Lead high-impact initiatives.
Ensure alignment with organizational goals.
Provide executive guidance.
Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc.
Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, data testing plans, etc.
Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs. Perform data analysis to validate data models and to confirm ability to meet business needs.
May serve as project or DI lead, overseeing multiple consultants from various competencies.
Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Integration.
Ensures proper execution/creation of methodology, training, templates, resource plans, and engagement review processes.
Coach team members to ensure understanding on projects and tasks, providing effective feedback (critical and positive) and promoting growth opportunities when appropriate.

Requirements

What you’ll need

Graduate in Computer Science, Data Science, or related field.
6-8 years of experience in data engineering or related field.
10 Years industry implementation experience with data integration tools such as Databricks , Azure Data Factory, etc.
Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Minimum of 5 years of data architecture, data modelling or similar experience
Bachelor’s degree or equivalent experience, Master’s Degree Preferred

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Senior Manager 🔥 1 hour ago 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 👔 Manager Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Oversee organizational data engineering solutions.
Lead high-impact initiatives.
Ensure alignment with organizational goals.
Provide executive guidance.
Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc.
Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, data testing plans, etc.
Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs. Perform data analysis to validate data models and to confirm ability to meet business needs.
May serve as project or DI lead, overseeing multiple consultants from various competencies.
Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Integration.
Ensures proper execution/creation of methodology, training, templates, resource plans, and engagement review processes.
Coach team members to ensure understanding on projects and tasks, providing effective feedback (critical and positive) and promoting growth opportunities when appropriate. 🎯 Requirements
Graduate in Computer Science, Data Science, or related field.
6-8 years of experience in data engineering or related field.
10 Years industry implementation experience with data integration tools such as Databricks , Azure Data Factory, etc.
Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Minimum of 5 years of data architecture, data modelling or similar experience
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Hard Skills & Tools

data engineeringdata integrationdata analysisdata modelingETL architecturedata pipelinesdata ingestiondata processingdata transformationdata storage solutions

Soft Skills

leadershipconsultative approacheffective feedbackcoachingcommunicationorganizational alignmentproject managementteam collaborationproblem-solvingcritical thinking

Certifications

Bachelor’s degreeMaster’s degreeComputer ScienceData Science