Senior AWS Data Engineer Lead Data Architect

Greetings of the day!!

I am Arumugam Veera and Im reaching out to you regarding an exciting opportunity with Naveera. You can connect with me on LinkedIn Company

Naveera IT consulting is a trusted global engineering partner delivering Data Engineering Generative AI Application Development and IT Infrastructure solutions. With over 15 years of experience in IT services and consulting. 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 and 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.

Specialties
Data Engineering & Modern Data Stack Generative AI Solutions & Model Deployment Application Development (Web Mobile & Enterprise) Artificial Intelligence (Predictive Conversational Computer Vision) IT Infrastructure Services (Cloud & On-Prem) Security DR Cloud Transformation & Microservices DevOps API & Systems Integration Extended Technology Teams & Dedicated Delivery Real-Time Streaming & Analytics and BI & Data Warehousing

Were Hiring: Senior AWS Data Engineer/ Lead Data Architect - AWS & GCP

Experience: 8 Years
Job Location: Madurai Tamil Nadu India
Working Mode: Remote/Hybrid
Job Type: Full-Time
Shift Timing: 2 PM to 11.30 PM IST Time Zone

Tasks

Strategic and hands-on Data Engineer OR Data Architect with over 8 years of experience in data engineering and cloud architecture. Expert in designing high-performance AWS Data Lakehouses utilizing the Medallion Architecture (Bronze/Silver/Gold) to drive business intelligence at scale. Proven track record of leading complex data migrations (Snowflake/Redshift consolidations) and implementing robust Data Governance frameworks. Specialized in optimizing AWS spend through advanced DPU tuning Redshift Serverless management and hybrid dbt Core/Cloud configurations.

Core Competencies
Architectural Leadership: Medallion Lakehouse Design Multi-tenant Data Modeling Schema-on-read/write.
AWS Ecosystem: Glue (ETL/DataBrew/DQ) Redshift (Provisioned & Serverless) S3 Athena Step Functions.
Data Ops & Governance: Terraform (IaC) CI/CD OpenLineage Data Quality Frameworks Lake Formation.
Transform & Model: Advanced dbt (Data Build Tool) modeling PySpark SQL Optimization CDC (AWS DMS).
Strategic Impact: Technical Roadmap development Cost Optimization (FinOps) Mentoring Mid-Level Engineers.

Key Responsibilities (Lead Level)
Architectural Strategy: Define and implement end-to-end Data Lakehouse solutions on AWS ensuring seamless transitions across Bronze Silver and Gold/Atomic layers for enterprise-wide consumption.
Infrastructure & Automation: Lead the automation of cloud infrastructure using Terraform ensuring secure repeatable deployments with integrated S3 encryption and IAM least-privilege protocols.
Performance & Cost Engineering: Orchestrate large-scale performance tuning initiatives including Parquet partitioning strategies DPU optimization in Glue and Redshift distribution/sort key refinements to reduce latency and cloud spend.
Data Governance & Quality: Establish automated Data Quality gates using AWS Glue Data Quality and dbt tests; chair Governance Steering committees to ensure data lineage and metadata integrity.
ETL/ELT Orchestration: Design complex event-driven workflows using Step Functions and Airflow integrating AWS DMS for real-time CDC from legacy SQL Server/OLTP systems.
Cross-Functional Leadership: Serve as the primary technical liaison between Data Science BI teams (Power BI/Fabric) and Business Stakeholders to translate clinical and operational metrics into scalable data models.

Requirements

Technical Skills & Qualifications
Years of Experience: 8 years in Data Engineering/Architecture with 5 years of dedicated AWS specialization.
Advanced Programming: Expert-level Python PySpark and complex SQL window functions.
Warehousing & Lakes: Deep expertise in Amazon Redshift (including Serverless scaling/warm-up optimization) and Snowflake.
Frameworks: Mastery of dbt for modular modeling and AWS Glue for serverless integration.
DevOps: Advanced proficiency in Terraform GitHub Actions and containerized data workloads.
Industry Knowledge: Experience defining clinical/business KPIs (e.g. conversion tracking referral metrics) and managing multi-location data structures. Experience in HIPAA standards will be a plus

Preferred Qualifications
Certifications: AWS Certified Solutions Architect Professional or AWS Certified Data Engineer Associate.
Education: Bachelors or Masters degree in Computer Science Information Systems or a related technical field.
Expertise: Familiarity with Microsoft Fabric (F-Capacities) and Power BI Embedded integration within AWS-hosted applications.

Benefits

Benefits

• Opportunity to work on large-scale cloud data transformation initiatives.
• Flexible remote work model from India
• Exposure to enterprise clients across the East Coast region.
• Growth-oriented leadership culture.
• Join Naveera as a Senior Data Engineer OR Lead Data Engineering Architect and lead innovative projects with a global team. Transform data into business value and drive impactful results.

Additional Information

• This is a customer-facing role requiring strong communication and stakeholder interaction skills.
• Candidate should be comfortable working remotely in EDT time zone.
• Immediate joiners or candidates available at short notice will be preferred.