Cloud Data & AI Architect

JD for Cloud Data & AI Architect

Introduction :

NBITS (N Benchmark IT Solutions) is an IT Company which has key services into Consulting, Development and Outsourcing across wide variety of tools & technologies (primarily Microsoft, Oracle, SAP, AI, Bigdata, Integration, App Building, Cloud & Analytics ). Looking for enthusiastic & dynamic professionals who can sync with Organization Vision and can be part of the Company’s exponential growth.

Engagement Key Details :

Job Type           : Full Time

IT Experience   : 12 to 15 Years

Position            : Cloud Data & AI Architect

Location            : Hyderabad

Start Date         : ASAP (Immediate Joiners preferable)

Timings             : 9 AM IST to 6 PM IST

Key Skills         :   Deep expertise in Cloud Data Architecture, Artificial Intelligence, and advanced analytics

end-to-end cloud-native AI solutions, AI Agent Systems, Proficiency with SQL , Python, Snowflake, BigQuery, Redshift, Synapse, and / or Databricks, experience with at least one major cloud provider (AWS, GCP, or Azure).

The Role : We are seeking an experienced and forward-thinking Cloud Data & AI Architect to lead the design and implementation of our scalable, end-to-end data ecosystem. You will be the mastermind behind our data infrastructure, responsible for architecting robust systems that support everything from advanced analytics to cutting-edge artificial intelligence applications. This is a critical role where you'll collaborate with data scientists, engineers, and business leaders to turn complex data challenges into powerful, actionable insights. If you are passionate about building modern data platforms and have deep expertise across the entire data lifecycle, we want to talk to you.   What You'll Do :

• Architect & Design : Design, build, and oversee our cloud-native data architecture, ensuring it is scalable, secure, and cost-effective.
• Platform Leadership : Lead the technical strategy and implementation on modern data platforms like Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse, and Databricks.
• End-to-End Data Lifecycle Management : Engineer solutions for the complete data journey, including data ingestion, ETL / ELT processing, storage, transformation, governance, and consumption for analytics and AI / ML models.
• AI / ML Integration : Design infrastructure to support the deployment and scaling of machine learning models, working closely with our data science team to enable MLOps best practices.
• Stakeholder Collaboration : Act as the bridge between technical teams and business stakeholders, translating business requirements into technical solutions and data models.
• Innovation & Strategy : Stay ahead of industry trends, evaluate new technologies, and drive the continuous improvement of our data and AI capabilities.   What You'll Bring
• Proven Experience : Demonstrated experience in a role like Data Architect, Solutions Architect, or Cloud Engineer, with a strong focus on data-intensive systems.
• Cloud Expertise : Deep, hands-on experience with at least one major cloud provider (AWS, GCP, or Azure).
• Modern Data Platform Mastery : Extensive, practical experience architecting and building solutions using platforms such as Snowflake, BigQuery, Redshift, Synapse, and / or Databricks. You should be able to articulate the trade-offs between them.
• Data Lifecycle Knowledge : Solid understanding of the entire data lifecycle, including data modeling, data warehousing, data lakes, and ETL / ELT development.
• Technical Skills : Proficiency with SQL and at least one programming language (e.g., Python). Experience with infrastructure-as-code (e.g., Terraform) is a plus.
• Excellent Communicator : Ability to articulate complex technical concepts clearly to both technical and non-technical audiences.   Preferred Qualifications
• International Client Experience : Proven experience working with international customers, especially in the US and European markets.
• IT Services Background : Previous experience at a Tier 1 or Tier 2 Indian IT services company is a strong plus.
• Certifications : Relevant cloud certifications (AWS, GCP, Azure) and data transformation certifications (dbt, dataform) are highly preferred.
• AI Agent Systems : Experience with multi-agent AI systems and frameworks like CrewAI or Google AgentSpace is a significant advantage.
• Streaming & MLOps : Experience with data streaming technologies (e.g., Kafka, Kinesis) and MLOps frameworks (e.g., Kubeflow, MLflow).   Must Have :
• Should be reliable & good at work habits
• Should be capable enough to Implement Best practices
• Should be Accountable, Proactive, Discipline, Stable at Engagement
• Should be well versed with Time & People management

NOTE :

Preference will be given for the people who are proactive, showcase right attitude, submit all the required on boarding documents in time and willing to start working immediately .

Resume should be in detail and SYNC with above Job Description else it will be rejected at scrutiny level itself. Hence requesting you to pay attention and ensure the quality.

Please share your updated profile to recruitment@nbits.tech & disha.jayanth@nbits.tech  and fill the contact form by simply clicking on below link without fail.

https : / / docs.google.com / forms / d / e / 1FAIpQLSeDRQNWB3LnZpuWfEA3XChGY-p85_Hpx4md0v6ZZQj7jCYvUQ / viewform

Thank You

NBITS TA Team

www.nbits.tech

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