Databricks Data Architect

Unison Group; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Unison Group is seeking a hands-on Databricks expert to design and implement Delta Lakehouse architectures and scalable data pipelines, steering enterprise data and AI initiatives. You will take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI.

You will lead technical delivery, optimize ETL/ML workloads, and foster a culture of cost efficiency and reliability.

Qualifications

• Hands-on Databricks expertise with Delta Lakehouse architectures.
• Experience designing scalable Delta Live Tables (DLT) pipelines.
• Strong programming in Python or Scala for data engineering and ML workflows.
• Cloud exposure across AWS, Azure, or GCP; familiar with Terraform automation.
• Knowledge of data governance using Unity Catalog and SQL Warehouses.
• Familiarity with CI/CD, Git, and MLOps practices.

Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables and Spark SQL.
• Optimize ETL, streaming, and ML workloads for performance and cost.
• Administer Databricks Workspaces, Unity Catalog, and cluster policies.
• Automate infrastructure and deployments with Terraform, Git, and CI/CD pipelines.
• Implement observability and monitoring with Splunk, Prometheus, or CloudWatch.
• Collaborate with customers to build AI and LLM solutions using MLflow and related tools.

Skills

Databricks

Delta Lake

DLT

Unity Catalog

SQL Warehouses

Python

Scala

AWS

Azure

GCP

Terraform

Git

CI/CD

MLOps

Splunk

Prometheus

CloudWatch

MLflow

DBRX

Mosaic AI

Tools

Splunk

Prometheus

CloudWatch

MLflow

DBRX

Mosaic AI

Job description

• We’re seeking a hands‑on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions.
• In this role, you’ll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real‑world outcomes for enterprise customers. You’ll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI.

Key Responsibilities

• Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala.
• Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability.
• Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments.
• Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
• Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch.
• Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Required Skills & Experience

• Strong hands‑on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration.
• Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
• Proficiency in Python or Scala for data engineering and ML workflows.
• Strong understanding of AWS, Azure, or GCP cloud ecosystems.
• Experience with Terraform automation, DevOps, and MLOps practices.
• Familiarity with monitoring and governance frameworks for large‑scale data platforms.

Good to Have Skills

• Machine Learning, Deep Learning, NLP, or Generative AI
• Designing distributed and scalable systems
• API‑first and microservices architecture
• Python, ML frameworks (TensorFlow, PyTorch, Scikit‑learn)
• MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
• Data platforms (Spark, Databricks, Snowflake)