Monday, April 13, 2026

Hiring for a AI Engineer || Hybrid

Hi,

ONLY LOCAL TO CA OR NC OR TX
NO GC

Job Title: AI Engineer

Location: Cary NC / Westlake, CA / Carrollton, TX (Onsite)

Job Summary

We are seeking an experienced AI Engineer to design and deliver modern, scalable data platforms across cloud environments. This role will focus on end-to-end data architecture including ingestion, processing, storage, governance, and consumption, leveraging cloud-native technologies and best practices.


Key Responsibilities

Architecture & Design

  • Design end-to-end cloud data architectures including:
    • Data ingestion
    • Processing
    • Storage
    • Governance
    • Consumption layers
  • Define modern data platform patterns:
    • Lakehouse
    • Data Mesh
    • Real-time streaming architectures
  • Select appropriate cloud services across AWS, Azure, or GCP

Data Engineering & Integration

  • Architect batch and real-time data pipelines
  • Enable scalable processing using:
    • Spark / Databricks
    • Kafka / Flink
    • Cloud-native tools
  • Define ETL/ELT frameworks and best practices

Cloud Platform & Infrastructure

  • Build secure, scalable cloud data ecosystems
  • Optimize performance, storage, and cost efficiency
  • Implement Infrastructure as Code using:
    • Terraform
    • ARM
    • CloudFormation

Data Governance & Security

  • Implement:
    • Data cataloging and lineage
    • Data quality frameworks
    • Metadata management
  • Ensure security and compliance:
    • IAM and role-based access
    • Encryption
    • Regulatory compliance (GDPR, HIPAA, SOC2, PCI-DSS)

Stakeholder Collaboration

  • Translate business requirements into technical architecture solutions
  • Partner with product, security, and platform teams
  • Provide leadership in data strategy and modernization initiatives

Documentation & Best Practices

  • Create architecture standards, reference models, and reusable frameworks
  • Conduct design reviews and capacity planning
  • Drive best practices across data engineering and cloud architecture

Required Skills & Qualifications

Core Skills

  • 8–10 years of experience in data engineering/architecture
  • 3+ years of experience in cloud-native data platforms
  • Hands-on expertise in at least one cloud platform:
    • AWS (S3, Redshift, Glue, EMR, Athena, Lake Formation)
    • Azure (Synapse, Data Lake, ADF, Databricks)
    • GCP (BigQuery, Dataflow, Dataproc)

Technical Skills

  • Strong experience with:
    • Distributed data processing (Spark, Databricks)
    • Event streaming (Kafka, Kinesis, Pub/Sub)
    • SQL / NoSQL database design
    • Data modeling (Star Schema, Snowflake, Data Vault)
  • Proficiency in:
    • Python / PySpark
    • SQL

Governance & Security

  • Knowledge of data governance, metadata management, and compliance
  • Experience implementing secure and compliant data architectures

Preferred Qualifications

  • Cloud certifications:
    • AWS Solutions Architect
    • Azure Architect Expert
    • GCP Professional Data Engineer
  • Experience with BI tools:
    • Power BI
    • Tableau
    • Looker
  • Familiarity with ML/AI platforms:
    • Azure ML
    • AWS SageMaker
    • GCP Vertex AI
  • Experience in regulated industries (BFSI, Healthcare)

Key Highlights

  • Work on modern cloud data platforms (Lakehouse, Data Mesh, Streaming)
  • Strong focus on cloud-native architecture and enterprise data strategy
  • Opportunity to lead large-scale data transformation initiatives

 

Arjun BHATT
SR. Recuriter

www.noviainfotech.com

E: arjun.b@noviainfotech.com M: (972) 961 2004
A: 4421 Avenida Ln, McKinney, TX, 75070

Linkedin: linkedin.com/in/arjun-bhatt-3a86001b5

 

 

 

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