Data Manager/Architect

Overview

We are seeking an experienced Data Engineering Manager to lead a hybrid team of onshore and offshore developers while remaining hands-on with modern data engineering tools and practices. The role will involve designing and implementing cloud-based data pipelines, modernizing legacy ETL processes, and collaborating closely with business and data science teams.

Responsibilities

• Design, implement, and manage modern data pipelines using Snowflake, DBT, Apache Airflow, and Azure Data Pipelines .


• Lead migration and modernization of legacy ETL processes (Informatica PowerCenter) to scalable cloud-based architectures.


• Integrate diverse data sources, including on-prem and cloud databases, APIs, XML feeds, and third-party systems.


• Collaborate with business stakeholders to translate requirements into efficient, well-architected data solutions.


• Develop and maintain dimensional models and robust data transformation logic aligned with business definitions.


• Lead and mentor a team of up to 4 offshore/onshore developers: assign tasks, validate deliverables, provide technical guidance, and support on-call as required.


• Maintain detailed technical documentation and contribute to architectural roadmaps.

Required Qualifications

• 5+ years of experience in data engineering or data warehousing environments.


• Strong hands-on experience with Snowflake (data modeling, optimization, performance tuning).


• Strong hands-on experience with DBT (Data Build Tool) for transformations and data testing.


• Strong hands-on experience with Apache Airflow for orchestration.


• Strong hands-on experience with Azure Data Factory / Azure DevOps Pipelines for CI/CD and integration.


• Experience with Informatica PowerCenter and migrating ETL workloads to cloud platforms.


• Bachelor’s degree in Computer Science, Information Systems, or related field.


• Prior experience leading or managing a technical team (onshore/offshore).

Preferred Qualifications

• Cloud platform experience with Azure (preferred), AWS, or GCP.


• Exposure to big data tools (Spark, Kafka, Delta Lake) and predictive analytics workflows.


• Experience working with a data science team.


• Familiarity with CI/CD and version control tools (Git, Azure Repos, etc.).


• Prior experience with Adobe Campaign or other digital marketing platforms.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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