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Databricks Architect

Databricks Architect

Mastech Digital

15 years

0 Lacs

chennai tamil nadu india

Posted:1 day ago| Platform:

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Skills Required

databricks data design drive strategy architecture engineering orchestration storage governance optimization spark pipeline efficiency devops code terraform security leadership mentoring pyspark sql aws azure iam networking gitops cataloging unity certifications kafka mlflow ml collaborative compensation

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Experience:

Budget:

Notice Period

About the Role

Databricks Architect

Key Responsibilities

Architect and implement enterprise-scale data platforms using
Databricks Lakehouse
, Delta Lake, and Medallion architecture.
Lead end-to-end design of data ingestion, transformation, orchestration, and storage solutions.
Define architecture standards, best practices, governance models, and performance optimization strategies.
Oversee Databricks clusters, Spark workloads, and pipeline optimizations for efficiency and cost control.
Enable CI/CD, DevOps, and Infrastructure-as-Code (Terraform) for Databricks and cloud data platforms.
Collaborate with cross-functional teams on security, data governance, and cloud architecture alignment.
Provide technical leadership, mentoring, and solution oversight for data engineering teams.

Required Skills & Experience

10–15 years
in Data Engineering, Data Platforms, or Cloud Data Architecture.
5+ years
designing large-scale data solutions and architecting modern data platforms.
Hands-on expertise with
Databricks
, Spark, PySpark, SQL, Delta Lake, and Lakehouse principles.
Strong experience with
AWS/Azure/GCP
data services (Storage, IAM, Networking, Key Vault).
Proven experience implementing CI/CD, GitOps, Terraform, and Databricks Repos/Workflows.
Strong understanding of data governance, cataloging, lineage, and security (Unity Catalog preferred).
Ability to translate business needs into scalable architectural solutions

Preferred Qualifications

Databricks certifications (Data Engineer Professional, Lakehouse Architect).
Experience with streaming systems (Kafka, Event Hubs, Kinesis).
Exposure to MLflow and operationalizing ML workloads.

What We Offer

Opportunity to lead next-generation data platform initiatives.
Collaborative and innovative environment.
Competitive compensation and career growth.

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