Job Description

Highlights

Experience

8+ Years

Joining Date
Immediate or max 30 days' Notice Period


Qualification
Bachelor's/Master's in Computer Science, Data Engineering, or other related fields

We are looking for an experienced, hands-on Solution Architect (Data and AI) to lead the architecture, design, and delivery of advanced Data and AI solutions for enterprise clients across industries. The role combines technical leadership,strategic consulting, and solution design, ensuring our clients derive measurable business value from their data investments. You will act as a trusted advisor to clients, guide technical teams, and architect best-in-class solutions that leverage the latest in cloud, data, and AI innovation.

Responsibilities

Solution Design & Architecture

+ Design end-to-end data and AI architectures across ingestion, transformation, storage, analytics, and ML layers.
+ Build scalable, cloud-native ecosystems using Azure, Snowflake, and open-source frameworks (Spark, Airflow, Kafka).
+ Define architecture blueprints, data models, and governance-aligned integration patterns.
+ Develop AI/ML platforms with MLOps, monitoring, and responsible AI principles.

Technical Leadership

+ Lead architecture discussions, design reviews, and guide data/ML teams through delivery.
+ Drive modern data engineering practices (CI/CD, IaC, DevOps).
+ Evaluate and recommend emerging technologies for enterprise solutions.

Client Consulting & Engagement

+ Translate business needs into scalable data-driven solutions.
+ Support pre-sales, RFPs, and executive-level presentations.
+ Advise on data strategy, architecture roadmaps, and AI adoption frameworks.

Delivery & Governance

+ Ensure architectural integrity, scalability, and compliance with data privacy standards.
+ Define best practices, reusable assets, and mentoring frameworks for internal teams.

Key Skills Requirements

+ Proficient in end-to-end AI architecture (data prep to deployment) with MLOps, Spark, Kafka, Airflow, Hadoop, dbt, and Delta Lake.
+ Expertise in LLMs, GenAI models, and AI agents using Azure OpenAI, LangChain, and Semantic Kernel.
+ Experience with RAG pipelines, vector databases, and governance frameworks.
+ Hands-on expertise in Azure Synapse, Data Factory, Databricks, Purview, and Machine Learning.
+ Experience with Azure OpenAI, Cognitive Services, and Microsoft Fabric.
+ Efficiency in data lakehouse design, Snowpark, Streamlit, optimization for large-scale analytics, automation using dbt, Airflow, and Terraform.
+ Strong programming skills in Python, SQL, and Scala, and experience with API/microservice-based data integration.
+ Expertise in CI/CD with Azure DevOps, GitHub Actions, Terraform, Docker, and Kubernetes.
+ Proven client-facing and advisory consulting experience with strong analytical, communication, and stakeholder management skills.
+ Bachelor's/Master's in Computer Science, Data Engineering, or other related fields.
+ Minimum 8 years of total experience, with at least 2 years in Data/AI solution architecture roles.
+ Preferred certifications: Azure Solutions Architect Expert, Data Engineer Associate, SnowPro Core, Advanced Architect, and TOGAF (optional).

Perks: Careers at Beinex

Comprehensive Health Plans


Learning and development


Workation and outdoor training


Hybrid working environment


On-site travel Opportunity


Beinex Branded Merchandise