Databricks Architect
TechDoQuest
Design and architect enterprise-scale data platforms using
Databricks Lakehouse
architecture.
Lead data modernization initiatives including migration from legacy data warehouses to cloud-based platforms.
Define best practices for
data ingestion, transformation, storage, and analytics
using Databricks.
Implement and optimize
Apache Spark, Delta Lake, and Unity Catalog .
Ensure data security, governance, metadata management, and compliance standards are met.
Collaborate with cloud, data engineering, analytics, and business stakeholders to translate requirements into technical solutions.
Provide architectural guidance, code reviews, and technical leadership to delivery teams.
Support CI/CD pipelines, automation, and infrastructure-as-code for data platforms.
Troubleshoot performance, scalability, and cost optimization issues.
Required Skills & Qualifications
8+ years of experience in
data engineering / data architecture / analytics platforms .
Strong hands-on experience with
Databricks
on
Azure, AWS, or GCP .
Expertise in
Apache Spark, PySpark, SQL, and data processing frameworks.
Experience with
Delta Lake, data lakes, and data warehousing concepts.
Strong understanding of
cloud architecture, networking, and security principles.
Knowledge of
data governance, data quality, lineage, and compliance
frameworks.
Excellent communication and stakeholder management skills.
#J-18808-Ljbffr
Databricks Lakehouse
architecture.
Lead data modernization initiatives including migration from legacy data warehouses to cloud-based platforms.
Define best practices for
data ingestion, transformation, storage, and analytics
using Databricks.
Implement and optimize
Apache Spark, Delta Lake, and Unity Catalog .
Ensure data security, governance, metadata management, and compliance standards are met.
Collaborate with cloud, data engineering, analytics, and business stakeholders to translate requirements into technical solutions.
Provide architectural guidance, code reviews, and technical leadership to delivery teams.
Support CI/CD pipelines, automation, and infrastructure-as-code for data platforms.
Troubleshoot performance, scalability, and cost optimization issues.
Required Skills & Qualifications
8+ years of experience in
data engineering / data architecture / analytics platforms .
Strong hands-on experience with
Databricks
on
Azure, AWS, or GCP .
Expertise in
Apache Spark, PySpark, SQL, and data processing frameworks.
Experience with
Delta Lake, data lakes, and data warehousing concepts.
Strong understanding of
cloud architecture, networking, and security principles.
Knowledge of
data governance, data quality, lineage, and compliance
frameworks.
Excellent communication and stakeholder management skills.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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