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Job description
Position Summary
As an Azure Databricks Data Architect at Ampcus Inc., you will serve as the principal enterprise data solutions authority leading large-scale analytics modernization in Michigan City, IN. Operating on-site across a mission-critical cloud ecosystem, this senior technical leadership role is dedicated to architecting high-performance lakehouse platforms, multi-tiered data warehousing, and distributed data pipelines. You will steer data modernization strategy, define architectural standards, and align enterprise data models with business objectives to deliver robust, scalable, and secure cloud analytics capabilities.
Detailed Job Description
The Azure Databricks Data Architect is responsible for the overarching architectural blueprint, technical governance, and end-to-end delivery of modern data platforms across Microsoft Azure. In this position, you will direct the technical design and optimization of data pipelines utilizing Azure Databricks, Unity Catalog, Azure Data Factory, and Azure Synapse Analytics. Your daily responsibilities encompass authoring distributed data models, architecting lakehouse storage layers with Azure Data Lake Storage (ADLS Gen2), and crafting high-throughput Spark-SQL and PySpark transformation frameworks to support complex analytical workloads.
Operating within an enterprise-scale environment, you will bridge technical design with business strategy, guiding data architecture decisions across multi-faceted programs and collaborating closely with engineering teams and executive stakeholders. You will implement enterprise-grade data governance, fine-grained access policies, encryption mechanisms, and regulatory compliance standards using Unity Catalog and Microsoft Fabric. The scope demands an experienced data leader with a proven background in dimensional modeling, OLAP cubes, and automated pipeline orchestration using Logic Apps to ensure high reliability, optimal query latency, and unified data democratization.
Key Responsibilities
Lead the enterprise data architecture strategy, design, and deployment of modern analytics solutions leveraging Azure Databricks and Microsoft Fabric.
Architect and govern scalable lakehouse and warehouse solutions utilizing Azure Databricks, Unity Catalog, Azure Synapse Analytics, and Azure SQL.
Design, build, and optimize automated enterprise ELT/ETL ingestion pipelines utilizing Azure Data Factory, Logic Apps, and event-driven architectures.
Author, refactor, and performance-tune high-volume data transformation routines utilizing advanced SQL, Spark-SQL, and PySpark.
Establish dimensional data modeling frameworks, star/snowflake schemas, and enterprise OLAP architectures supporting business intelligence.
Define and enforce unified data governance, access controls, data lineage, and metadata management strategies using Databricks Unity Catalog.
Ensure stringent cloud data security, privacy compliance, network segmentation, and encryption across Azure Data Lake Storage environments.
Provide senior technical guidance, architectural design reviews, and engineering best practices to distributed development and data engineering teams.
Partner with executive stakeholders and program managers to evaluate analytics modernization roadmaps and influence technology investments.
Produce comprehensive High-Level Design (HLD) documents, Low-Level Design (LLD) specifications, data dictionaries, and architectural diagrams.
Required Qualifications & Skills
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related technical discipline.
Minimum of 10+ years of progressive professional experience in enterprise data architecture and data warehousing design.
Minimum of 6+ years of dedicated, hands-on experience architecting and implementing cloud data solutions on Microsoft Azure.
Proven subject matter expertise with Azure Databricks, Delta Lake, and enterprise metadata governance utilizing Unity Catalog.
Extensive hands-on experience orchestrating data workflows using Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Azure Data Lake.
Demonstrated proficiency in advanced relational SQL, Spark-SQL, and distributed data processing using PySpark.
In-depth background in dimensional modeling, data lakehouse patterns, star/snowflake schemas, and enterprise OLAP principles.
Solid foundation in enterprise data governance, zero-trust security architecture, access control policies, and compliance standards.
Nice-to-Have Skills
Overall career trajectory demonstrating 15+ years of total IT and software engineering experience.
Practical hands-on architectural experience with Microsoft Fabric deployment and unified analytics workloads.
Industry-standard certifications such as Databricks Certified Data Engineer Professional or Microsoft Certified: Azure Data Engineer Associate.
Demonstrated experience implementing automated CI/CD pipelines for data engineering using Azure DevOps, GitHub Actions, or Terraform.
Experience orchestrating complex cloud application workflows using Azure Logic Apps, Azure Functions, or message brokers.
Application Information
Recruiter / Staffing Firm: Ampcus Inc.
Work Location: Michigan City, IN (Strictly Onsite)
Local Candidate Requirement: This opportunity is open only to candidates currently based in Michigan City, IN or immediate commuting vicinity
Expected Contract Duration: 6+ months
Experience Parameter: 15+ years of total experience preferred by hiring team
Employment Type: Contract
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Worksite address
michigan city, IN, 46361, US
Who can apply
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