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Job Details

Skills

ADF
Microsoft Azure
Windows PowerShell
Terraform
Snow Flake Schema
DevOps
RBAC
Databricks

Summary

Databricks Data Architect
New Jersey (Hybrid)

Data Engineering Execution

Build and maintain ingestion frameworks (ADF / Databricks / Spark)

Implement Bronze -> Silver transformations aligned to architecture

Architect data quality checks, schema validation, and contract rules

Optimize pipelines for performance and cost

DevOps & Automation

Own CI/CD pipelines (Azure DevOps)

Automate onboarding (repos, pipelines, policies, templates)

Maintain IaC and scripting (Terraform, PowerShell / Python)

Troubleshoot pipeline failures and permission issues

Data Modeling - Design and implement curated data models in Gold layer aligned to business use cases

Build:

Dimensional models (star/snowflake schemas)

Fact tables, dimensions, surrogate keys, SCD handling

Translate Silver datasets into:

Analytics-ready models
Consistent KPI definitions and business logic

Ensure:

Consistency across domains (common dimensions, conformed models)
Reusability and scalability of models
Alignment with enterprise semantic layer (Power BI / Fabric / downstream tools)

Handle changes such as:

Column derivation logic changes (not just schema changes)
Backward compatibility and impact analysis

Partner with business / data stewards to:

Define business rules
Validate metrics and edge cases
Support regression scenarios

Governance & Data Quality Implementation

Implement governance patterns defined by architecture
Enforce:

Unity Catalog standards
naming conventions, metadata policies
access controls (RBAC/ABAC)

Architecture Translation

Automation first thinking and design approach.
Convert high-level architecture into:

low-level designs
reusable templates
engineering playbooks

Ensure consistency across projects and teams

Team Enablement

Support delivery teams with:

onboarding

debugging

design reviews

Provide hands-on guidance
Create reusable assets to reduce repeat questions

Required Skills

Core Platform

Azure Data Platform (ADF, ADLS, Azure SQL)

Databricks (DLT, Delta Lake, Spark, Workflows, Unity Catalog)

Microsoft Fabric (preferred)

Engineering

PySpark / Python (advanced)
SQL (strong)
Pipeline design (batch + streaming)

DevOps / Automation

Azure DevOps (pipelines, repos, policies)
PowerShell automation (must-have for your setup)
CI/CD + Infrastructure-as-Code concepts

Governance / Data Quality

Schema enforcement, data contracts, DQ frameworks
Metadata-driven design understanding

Thank you for your time!

Ankit Kumar

Sr. Technical Recruiter

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24155 Drake Rd, Farmington Hills, MI 48335, United States

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Dice Id: 80127832
Position Id: 9024654
Posted 7 days ago

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Nesha Bhanot

Recruiter @ Group Nine

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Databricks Data Architect

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Nesha Bhanot

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