Databrick Architect/ Lead with MDM exp

E-Solutions; Woodbridge Township (NJ); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A dynamic IT consultancy is seeking a Databrick Architect/Lead with strong MDM experience to join their data team. The ideal candidate will design and optimize large-scale data pipelines using Databricks, ensuring performance and reliability. Responsibilities include building ETL processes, collaborating with cross-functional teams, and implementing data governance standards. Familiarity with Azure Cloud Services and strong skills in SQL and Python are essential. This is a hybrid contract role based in Woodbridge Township, NJ.

Qualifications

• Strong expertise in Databricks, including Delta Lake and Lakehouse Architecture.
• Proficiency in big data processing using Spark and PySpark.
• Familiarity with data governance and security standards.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Integrate data from multiple sources including Azure Blob Storage.
• Monitor and troubleshoot data pipelines to ensure reliability.

Skills

MDM

Databricks

Pyspark

SQL

Python

Tools

Azure Cloud Services

GitLab

Job description

Role

Databrick Architect/ Lead with MDM exp

Location

Iselin, NJ (Hybrid)

Required Skills

• MDM
• Databricks
• Pyspark
• SQL
• Python

Job Summary

We are seeking highly skilled Databrick Architect with strong expertise in MDM SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.

Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Leverage PySpark/Spark and SQL to transform and process large datasets.
• Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
• Work Closely with multiple teams to prepare data for dashboard and BI Tools.
• Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.

Performance & Optimization

• Optimize Databricks workloads for cost efficiency and performance.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

Governance & Security

• Implement and manage data security, access controls and governance standards using Unity Catalog.
• Ensure compliance with organizational and regulatory data policies.

Deployment

• Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
• Manage version control for Databricks artifacts and collaborate with team to maintain development best practices.

Technical Skills

• Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
• Proficiency in Azure Cloud Services.
• Solid Understanding of Spark and PySpark for big data processing.
• Experience in relational databases.
• Knowledge on Databricks Asset Bundles and GitLab.

Preferred Experience

• Familiarity with Databricks Runtimes and advanced configurations.
• Knowledge of streaming frameworks like Spark Streaming.

Seniority Level

• Mid-Senior level

Employment Type

• Contract

Industries

• IT Services and IT Consulting

Benefits

• Medical insurance
• Vision insurance
• 401(k)