Experience : 10.00 + years

Salary : Confidential (based on experience)

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Hybrid ()

Placement Type : Full time Permanent Position

(*Note: This is a requirement for one of Uplers' client - Nuaav)

What do you need for this opportunity?

Must have skills required: AWS, Python

Nuaav is Looking for: Job Title: Technical Solution Architect – Data Engineering (14+ Years)

Company: Nuaav

Company Overview Nuaav is a boutique technology consulting firm focused on delivering innovative, scalable, and secure data engineering and AI solutions. We partner with corporate clients to drive impactful change through specialized expertise in product engineering, data systems, AI/ML, and user experience. Our services emphasize personalized attention, agility, and quality, enabling clients to confidently transform and grow in evolving business environments.

Role Overview We are seeking a Technical Solution Architect with 14+ years of experience to own the end-to-end architectural integrity of this program, from component design, through implementation oversight and deployment, to operationalization. The project centers on a data lakehouse platform that ingests data from heterogeneous sources, organizes it through semantic layers, exposes it via REST APIs, and is being enhanced with AI-powered natural language query capabilities and entity resolution.

Key Responsibilities

- End-to-end solution architecture across ingestion, storage, semantic modelling, API exposure, governance and observability.
- Component-level design reviews: ingestion pipelines, semantic-layer patterns, API contracts, caching, event streaming, access-control boundaries.
- Implementation oversight: to ensure it matches the architecture, design quality, security, performance and cost.
- Technical decision-making on build-vs-buy, tooling and pattern choices, with clear written rationale.
- Being the architectural point of contact for client stakeholders, engineering managers, tech leads and data science / analytics consumers.

Required Qualifications

- 14+ years of hands-on engineering experience,



with 3+ years in a solution / data architect capacity.
- Strong AWS experience: comfortable designing on S3, Lambda, API Gateway, IAM and typical data services.
- Deep experience with at least one modern data platform paradigm: data lake, lakehouse, data warehouse, data mesh or data fabric on platforms such as Snowflake, Databricks, Redshift, BigQuery, Synapse, or equivalent.
- Solid grounding in semantic / layered data modelling (raw → business → consumption) and in the trade-offs between virtualization, materialization and copy-based pipelines.
- Strong Python for data pipelines and backend services; comfortable reviewing and writing production-grade code.
- Experience designing and operating REST APIs at scale: versioning, auth, rate limits, pagination, observability, contract discipline.
- Working knowledge of API security and governance patterns: JWT/OAuth, tenant isolation, RBAC / ABAC, field-level access control, audit logging.
- Hands-on experience with real-time event streaming using Kafka, Kinesis, Pulsar or equivalent: producers/consumers, partitioning, ordering and delivery guarantees, schema evolution, back-pressure.
- Production experience with in-memory caching (Redis, Memcached or equivalent) for low-latency reads: cache keys, TTLs, invalidation, hot-key mitigation, and consistency trade-offs.
- Working experience with data lineage, cataloguing and governance tooling (e.g. DataHub, OpenMetadata, Collibra, Alation, Unity Catalog, AWS Glue Data Catalog, or equivalent).
- LLM / RAG patterns applied to structured data: prompt design, grounding against catalogues and dictionaries, evaluation.
- Clear written and verbal communication; able to explain trade-offs to engineers,



to engineering managers, and to non-technical stakeholders.

Preferred Qualifications

- Open table formats in production: Apache Iceberg, Delta Lake or Apache Hudi.
- Query / acceleration engines such as Dremio, Trino, Presto, Starburst or Athena.
- Entity resolution / record linkage, either hand-rolled or via tools such as Zingg, Senzing or AWS Entity Resolution.
- Multi-tenant SaaS data platform experience, especially around purpose-of-use controls and regulated workloads.
- Consulting or client-facing delivery experience.

Soft Skills

- Solid analytical and problem-solving skills.
- High attention to detail.
- Ownership mindset and proactive attitude.
- Ability to work collaboratively in cross-functional environments.

Why Work at Nuaav?

- Engage in high-impact projects leveraging cutting-edge AWS cloud technologies.
- Work in a boutique consulting environment that values innovation, quality, and personalized growth.
- Collaborate with passionate experts across data engineering, AI, and product domains.
- Opportunity to develop your career with exposure to enterprise-scale digital transformation initiatives.

Location: Noida / Remote / Hybrid Employment Type: Full-time

How to apply for this opportunity?

- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

📌 Data Architect (Noida)
🏢 Uplers
📍 Noida