Data Engineering Architect Manager

About Company: Naveera Technology LLC is a trusted global engineering partner delivering Data Engineering Generative AI Application Development and IT Infrastructure solutions. With over 15 years of IT services and consulting experience and a team of 400 expert engineers we help organizations transform raw data into deployable business value.

Our approach emphasises Production over Pilots we dont stop at proof-of-concepts; we engineer systems that go live scale reliably and deliver measurable outcomes. With our CoE-driven delivery model product engineering DNA and a scalable talent acquisition engine we align deeply with enterprise demands for performance compliance continuity and innovation.

From Digital Health to Financial Services E-Commerce to Technology we serve a diverse industry base and back every engagement with proven frameworks low-attrition teams and agile global delivery. At Naveera we empower clients to turn challenge into growth data into insight and concepts into platforms.

Tasks

Role Overview

We are looking for an experienced Data Engineering Manager with strong expertise in AWS and GCP to lead data architecture initiatives and manage distributed teams. This role requires someone who has successfully managed both onshore and offshore teams and can bridge the gap between business needs and technical solutions.

You will play a critical role in designing scalable data platforms optimizing ETL pipelines and enabling data-driven decision-making across the organization.

Key Responsibilities

1. Data Architecture & Engineering

• Design and maintain modern data architectures including data warehouses data lakes and scalable cloud-based storage solutions.
• Develop data models schemas and metadata frameworks ensuring integrity and consistency.
• Select and implement the right technologies for ETL analytics and reporting solutions.

2. ETL Design & Optimization

• Build and optimize robust ETL pipelines across multiple data sources.
• Improve pipeline performance reliability and scalability.
• Implement strong data quality frameworks and monitoring mechanisms.

3. Business Intelligence & Analytics

• Collaborate closely with business stakeholders to understand reporting and analytics requirements.
• Translate functional requirements into scalable technical designs.
• Lead the development of dashboards visualizations and reports that enable strategic decision-making.

4. Technical Leadership

• Lead and mentor a team of data engineers across onshore and offshore locations.
• Conduct architecture reviews and code reviews.
• Drive best practices in cloud-based data engineering.
• Stay updated with emerging technologies in cloud ETL and BI.

5. Data Governance & Security

• Establish data governance standards and best practices.
• Ensure compliance with data privacy and security regulations.

6. Project & Stakeholder Management

• Manage project timelines budgets and resource planning.
• Communicate progress risks and updates to leadership and clients.

Required Skills & Qualifications

Technical Expertise

• Strong background in data warehousing dimensional modeling and ETL frameworks.
• Hands-on experience with ETL tools such as AWS Glue Talend or Informatica.
• Strong SQL skills and experience with large-scale data processing.
• Experience with BI tools like QlikSense Tableau or Power BI.
• Deep understanding of cloud platforms AWS and GCP.
• Experience working with data lakes and big data ecosystems.
• GCP certification is a plus.

Leadership & Soft Skills

• Proven experience managing onshore and offshore teams.
• Strong analytical and problem-solving capabilities.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
• Ability to work independently while leading collaborative teams.
• Strong mentoring and people development mindset.

Experience Required

• 10 years of experience in Data Warehousing ETL and BI environments.
• Proven experience designing and implementing enterprise-level data architectures.
• Demonstrated leadership experience managing cross-functional and distributed teams.

Requirements

Job Title: Data Engineering Manager AWS & GCP

Experience: 12 Years

Mode of work: Remote option available.

Work Authorization: Green Card or U.S. Citizen preferred.

Job Location: East Coast USA Multiple locations including:

• New York City
• Jersey City
• Boston
• Atlanta
• Charlotte
• Tampa

Benefits

Opportunity to work on large-scale cloud data transformation initiatives.

Flexible remote work model.

Exposure to enterprise clients across the East Coast region.

Growth-oriented leadership culture.