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 don’t 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
Position Details
Job Title: Data Engineering Architect/ Manager – AWS & GCP
Experience: 12+ Years
Key Skills Required: AWS Cloud (Redshift, Glue, Airflow (MWAA), S3, DynamoDB, CloudWatch), Snowflake, Google Cloud Platform (GCP), ETL, QlikSense, SQL Queries, DBT (Data Build Tool), Data Lakehouse, Python, Pyspark, Glue DataBrew, AWS Data Quality
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, Washington, Boston, Georgia, Florida, Atlanta, Charlotte, Tampa, Virginia, Pennsylvania, Manie, New Gersey)
Note: Candidates based in the East Coast region, or open to relocating there, will be strongly preferred.
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.
Requirements
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.
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.
