Data and AI Architect

Brihatis GES

Bangalore / Mangalore • Not disclosed

Yesterday

On-Site

About the job

Job Title: Data and AI Architect Must have Skill: Gen AI, Machine learning Models, AWS/ Azure, redshift, Python, Apachi, Airflow, devops, minimum 4-5years experience as Architect, should be from Data Engineering background. Location: Bangalore / Mangalore Type: Full-Time Notice Period: Immediate joiners preferred Experience: 12+ Years (minimum 4–5 years as Architect, Data Engineering background required) About the Role We are seeking an experienced Data & AI Architect to design and guide the implementation of scalable data platforms, AI/ML systems, and cloud-native architectures. This role bridges data engineering, data science, and enterprise architecture, ensuring that solutions are robust, secure, efficient, and aligned with business objectives. 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 practices 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 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/ +971 502980048