Data Architect

Data Architect – Hyderabad

Experience: 15+ Years

Location: Hyderabad

About CriticalRiver

CriticalRiver is a technology services company delivering digital transformation, cloud, data, analytics and AI solutions to global enterprises.

Role Overview

We are looking for a senior Data Architect to lead the design and technical direction of enterprise-scale data platforms, data engineering, cloud data solutions and analytics ecosystems. AI/ML and Generative AI will be secondary areas of expertise.

Key Responsibilities

• Design and lead enterprise data architecture, data platforms, lakehouses and data warehouses.
• Architect solutions using Snowflake and/or Databricks.
• Lead data engineering, ETL/ELT, ingestion, CDC, streaming and orchestration.
• Design scalable solutions using Python, SQL, Spark, Kafka, dbt and Airflow.
• Architect cloud data platforms across AWS, Azure or GCP.
• Drive data modernization, migration, governance, security, quality and lineage.
• Define data models, semantic layers and analytics architectures.
• Provide architecture governance, technical leadership, mentoring and client consulting.
• Support pre-sales, solutioning, RFPs, POCs and senior stakeholder discussions.
• Integrate AI/ML, GenAI, RAG and AI agents into enterprise data platforms where required.

Mandatory Skills

• 15+ years in Data Engineering / Data Architecture / Cloud Data.
• 4+ years in Data Architect / Principal Architect / Enterprise Architect roles.
• Strong Data Architecture & Data Engineering experience.
• Strong hands-on Python and SQL.
• Snowflake and/or Databricks – mandatory/preferred core skill.
• Apache Spark, ETL/ELT, Data Integration, CDC.
• Kafka, dbt, Airflow or equivalent technologies.
• Strong experience in AWS / Azure / GCP.
• Data modeling, governance, security, quality and migration.
• Strong client-facing, consulting and architecture leadership experience.

Secondary / Good to Have

• Generative AI, LLMs, RAG, Embeddings, Vector Search, AI Agents.
• Snowflake Cortex / Databricks Mosaic AI.
• MLflow, Azure ML, SageMaker or Vertex AI.
• Power BI / Tableau / Looker.
• Docker, Kubernetes, Terraform and CI/CD.
• Experience in consulting / system integration environments.

Key Focus Areas

Data Architecture | Data Engineering | Snowflake | Databricks | Python | SQL | Spark | Cloud | Data Modernization | Governance | AI/GenAI | Client Consulting | Pre-Sales