Hi,
This is Diksha Chaudhary working with Novia Infotech. We have the below contract job opportunity with one of our direct clients and would like to check if you have any resources available. Please send across the resume of your consultants along with the contact information at the earliest to diksha.c@noviainfotech.com.
Role: AI Engineer
Location: Cary NC / Westlake, CA / Carrollton, TX (Onsite)
Duration: 12+ Months
Description:
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
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Diksha Chaudhary |
E: diksha.c@noviainfotech.com |
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