Aivar Innovations Pvt. Ltd. is a next-generation technology company specialising in AI-powered cloud solutions and intelligent automation. Through our accelerator platforms — Convogent, Velogent, and Kubogent — we help enterprises across industries unlock the full potential of their data on AWS and beyond. We are a team of builders, architects, and innovators driven by the mission to make AI and data work for every business.
As an Associate Data Architect at Aivar Innovations, you will play a pivotal role in designing, implementing, and maintaining scalable data architectures for our customers. You will work closely with senior architects, data engineers, and customer teams to translate business requirements into robust data solutions. This role is ideal for someone who thrives at the intersection of data engineering, cloud platforms, and architectural thinking.
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Design and implement data models, data pipelines, and lake/warehouse architectures on AWS
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Support development of conceptual, logical, and physical data models aligned to business objectives
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Assist in architecting end-to-end data flows across ingestion, transformation, and consumption layers
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Evaluate and recommend appropriate data storage paradigms (relational, columnar, NoSQL, graph)
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Build and manage data infrastructure on AWS services including S3, Redshift, Glue, Athena, and Lake Formation
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Implement data governance policies, access controls, and data cataloguing using AWS-native tools
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Participate in the design and deployment of data solutions leveraging Aivar's Datagent accelerator platform
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Collaborate on cloud-native ETL/ELT pipelines using Glue, dbt, Spark, or equivalent frameworks
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Engage with customer teams to gather data requirements and translate them into architectural recommendations
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Produce architecture diagrams, technical documentation, and solution blueprints
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Contribute to Statements of Work (SOWs), proposals, and data strategy deliverables
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Support QA and performance tuning of data solutions across environments
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Work alongside senior architects to build reusable frameworks and accelerators
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Participate in internal knowledge sharing, architecture reviews, and capability building
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Stay current with developments in cloud data platforms, AI/ML data tooling, and modern data stacks
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Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
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2 to 4 years of hands-on experience in data engineering, data warehousing, or data architecture roles
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Experience working with structured and semi-structured data in cloud environments (AWS preferred)
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Exposure to data modeling techniques: Star Schema, Snowflake Schema, Data Vault
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Proficiency in SQL and one or more programming languages: Python, Scala, or Java
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Working knowledge of AWS data services: S3, Redshift, Glue, Athena, DynamoDB, Lake Formation
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Familiarity with data pipeline tools such as Apache Airflow, AWS Step Functions, or similar orchestrators
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Understanding of data governance, data quality frameworks, and metadata management
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Experience with BI/visualization tools such as QuickSight, Power BI, or Tableau is a plus
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AWS Certified Solutions Architect (Associate) or AWS Certified Data Analytics – Specialty
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Experience with modern data stack tools such as dbt, Fivetran, Airbyte, or Databricks
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Exposure to real-time data streaming using Kinesis, Kafka, or similar platforms
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Knowledge of MLOps or AI/ML data pipelines is an advantage
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Prior consulting or customer-facing experience in a technology services environment
Analytical Thinking
Customer Centricity
Ability to decompose complex data problems into structured, scalable solutions
Understands business context and delivers architectures that meet customer needs
Collaboration
Continuous Learning
Works effectively across cross-functional teams including engineers, PMs, and customer stakeholders
Proactively keeps pace with evolving cloud, data, and AI technologies
Communication
Ownership & Accountability
Articulates technical concepts clearly in written and verbal form to both technical and non-technical audiences
Takes initiative and sees tasks through to completion with high quality
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Opportunity to work on cutting-edge AI and data projects across diverse industry verticals
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Exposure to Aivar's proprietary accelerators: Convogent, Velogent, Kubogent, and Datagent
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Fast-tracked career growth in a high-performance, innovation-led culture
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Mentorship from seasoned AWS architects and data engineering experts
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Competitive compensation with performance-linked incentives
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Support for AWS certifications and continuous learning initiatives
