Data and AI Architect _Bangalore

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About the Role

We are seeking an experienced Data & AI Architect

Key Responsibilities

Data & AI Architecture

• Design end-to-end architectures for data ingestion, storage, processing, analytics, and AI/ML workloads.
• Architect data platforms such as data lakes, data warehouses, and lakehouses (Snowflake, Databricks, BigQuery, Redshift, etc.).
• Define AI/ML architectures, including model training, feature stores, deployment, and monitoring.
• Build scalable real-time and batch data pipelines using modern frameworks (Kafka, Spark, Flink, Airflow, dbt).

Solution Design & Governance

• Develop conceptual, logical, and physical data models supporting advanced analytics and ML.
• Ensure compliance with security, governance, quality, and regulatory requirements (GDPR, HIPAA, SOC2).
• Establish data standards, best practices, and architectural guardrails.

Collaboration & Stakeholder Leadership

• Work closely with data scientists, ML engineers, data engineers, and business stakeholders to translate requirements into solution designs.
• Lead architectural reviews and provide technical guidance during project execution.
• Evaluate and recommend tools, cloud services, and platforms for data and AI initiatives.

Cloud & Infrastructure

• Define and optimize cloud-native architectures on AWS, Azure, or GCP.
• Implement MLOps/ModelOps practice, including CI/CD for models, monitoring, and lifecycle management.
• Architect solutions with scalability, performance, availability, and cost-efficiency in mind.

Key Skills

• Strong hands-on background in data engineering, analytics, or data science.
• Expertise in building data platforms using:
• Cloud: AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery, Dataflow)
• Compute: Spark, Databricks, Flink
• Data Modelling: Dimensional, Relational, NoSQL, Graph
• Proficiency with Python, SQL, and data pipeline orchestration tools (Airflow, dbt).
• Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow.
• Experience implementing MLOps, model deployment, monitoring, logging, and versioning.

Soft Skills

• Strong communication skills with the ability to translate technical concepts into business terms.
• Leadership and mentoring capabilities.
• Problem-solving mindset with a focus on scalable, future-proof design.

Preferred Qualifications

• 8+ years of experience in data engineering, data science, or architecture roles.
• Experience designing enterprise-grade AI platforms.
• Certification in major cloud platforms (AWS/Azure/GCP).
• Experience with governance tooling (Collibra, Alation) and lineage systems.

Share resume at bharti.shivhare@brihatisglobal.com, whatsapp-+971 502980048