Senior Databricks Engineer

Job description

Jersey City, NJ — Hybrid (3 Days Onsite)

Contract to Hire

W2 Only — No Third Parties 1

8+ Years Experience

Azure Databricks, Python, PySpark, SQL

This role is responsible for designing, developing, and deploying cloud data solutions as part of a broader cyber data initiative focused on building out a security and risk data platform for Information Security. The engineer will develop data feeds and contribute to the buildout of a Cybersecurity Data Lake — centralizing data and establishing effective data governance around data sources and lineage using Databricks. This individual will collaborate with developers, data owners, governance leads, and business analysts across IT and aligned application stakeholders.

? Critical Requirements

Financial services or similarly regulated environment experience strongly preferred

Responsibilities

Design, develop, test, and support cloud data solutions focusing on data ingestion, data quality, tuning, and performance of upstream cybersecurity data sources using Databricks

Provide indirect leadership and mentorship to junior team members;

lead data feed development efforts and design initiatives

Participate in development meetings to align priorities and objectives, assign tasks, and share experiences across applications under development

Consult with technology and development teams to coordinate integration of applications within the broader software ecosystem

Capture and document metadata for Key Data Elements (KDEs) to ensure accuracy and completeness for Data Quality (DQ) rules and daily dataset processing

Work with the data architecture team to align KDEs to logical data models, develop physical data structures, and document physical data names, definitions, and types

Partner with data owners and stakeholders to create technical requirements and DQ rules around data elements needed in the data warehouse

Partner with Business Management and Data Owners to identify critical metrics and data fields required for metric dashboards

Establish views to encapsulate data for downstream consumption and ensure alignment with DQ rules established on metadata

Utilize IBM TWS production job scheduling and adhere to standards around daily scheduling and batch monitoring of production jobs

Identify and resolve data quality issues including inaccuracies and incomplete information;

implement improved procedures and processes

Qualifications & Skills

Azure & Cloud Platform

Azure Databricks & Unity Catalog

Azure Data Factory

Azure Data Lake Storage

Azure Functions

Azure Event Grid

Azure Log Analytics & Monitor

Development & Data Engineering

Python / Java

SQL Server, Oracle / PL-SQL, T-SQL

ETL / ELT

REST API & Microservices

CI/CD — Git, Jenkins, Azure DevOps

Collibra DQIM/DQE, IBM Infosphere DA

Security Domain & Compliance

Strong knowledge of enterprise Information Security data domains: Phishing, Identity Management, Privileged Access, Cloud Security, Incident Response, Vulnerability Management, and Threat Detection

Data knowledge of PaaS/SaaS products including ServiceNow, CrowdStrike, MS Purview, Proofpoint, WIZ.IO, JIRA, SharePoint, and Azure Active Directory

Understanding of information security frameworks (NIST, CIS, CRI Profile) and regulatory compliance (NYSDFS, GDPR, CCPA)

? Nice to Have

Knowledge of Microsoft Sentinel for SIEM

Knowledge of IBM Tivoli Workload Scheduler

Exposure to Power BI for data visualization and reporting

Worksite address

city of jersey city, NJ, 07390, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.