Solutions Architect
Job Description
Role : Architect
Experience Required - 4+ years
- Develops enterprise data and analytics architecture, including best practices, guiding principles, and design patterns aligned with strategic business objectives
- Partners with business and solution architecture teams through implementation and operational support to ensure technology achieves desired business outcomes
- Evaluates current architectures to identify weaknesses, defining interim and target-state strategies to advance architectural maturity
- Integrates advanced analytics and AI/ML models into existing data workflows using frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Leads proof-of-concept initiatives and capability maturity assessments to build future-state architecture roadmaps
- Contributes to enterprise data and analytics vision and strategy, reducing solution complexity and time to market
- Owns architectural artifacts, high-level designs, POCs, and deployment support for data, analytics, and generative AI solutions
- Guides architecture direction across five pillars: data platforms, analytics delivery, data security, AI, and data management/governance
- Defines and maintains standard architectural principles and processes for enterprise-wide consistency
- Validates architectural designs, reviews findings, and proposes remediation for deficiencies
Experience:
- Minimum 4+ years in enterprise data and analytics architecture, designing scalable, reusable solutions
- Hands-on experience defining architectural principles, patterns, and high-level designs for data platforms, analytics delivery, and AI/ML solutions
- Experience integrating AI/ML models into data workflows using TensorFlow, PyTorch, or Scikit-learn across cloud environments
- Experience leading POC initiatives, capability maturity assessments, and future-state architecture roadmaps
- Experience advising on complex projects involving generative AI solutions in enterprise landscapes
- Experience in regulated industry (pharma, healthcare, life sciences) is a plus
Certifications:
- Azure Solutions Architect Expert or AWS Certified Solutions Architect
- TOGAF Certification
- Certified Data Management Professional (CDMP)
- Google Professional Cloud Architect Certification
Key Skills: Cloud Architecture (Azure/AWS/GCP), Databricks, Snowflake, ADF/Informatica, Python, SQL, Data Architecture, AI/ML (TensorFlow, PyTorch, Scikit-learn, MLflow), Data Governance, Streaming (Kafka, Event Hubs), BI Tools (Power BI, Tableau, Looker)
Non-Negotiable Skills: Cloud Architecture (Azure/AWS) & Databricks
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
About Company
Skills:
Python, Ios, Ansible, Ethernet, congestion control optimization, infiniband, Salt, adapter configuration, performance benchmarking, Cumulus Linux, JunosOS, sonic, Networking fundamentals, firmware maintenance, MTU configuration, RDMA, automated network provisioning solutions, EOS, bandwidth and latency jitter issues, QP tuning, RDMA testing tools, CI CD pipelines, end-to-end IB Eth cluster deployment, RDMA network optimization strategies
Skills:
Data Factory, Spark, Data Lake, Databricks, Azure Sql, Synapse Analytics, Delta Lake, Azure data services
Skills:
Oauth2, PostgreSQL, Kafka, Rabbitmq, Sqs, Sns, Oracle, API-first design, OpenID Connect, Event-driven architecture, NoSQL databases, SAFe frameworks, Microservices architecture, FinOps principles, CI/CD practices and architecture governance, AI-assisted architecture tools, Cloud-native architecture, IAM and security architecture, REST APIs and API management
Skills:
Power Bi, Power Automate, Sql, Rest Apis, Python, GenAI Integration, AI Agent Development, Workflow Orchestration, LLM APIs, Microstrategy, Microsoft Copilot, Agentic frameworks, Power BI Report Builder, Prompt Engineering
Skills:
API design, engineering best practices, cloud infrastructure architecture, technical program management, client-server interaction design, telecommunication architecture, digital technologies