VP, Data Platform & Analytics Engineering

CREA, LLC

Indianapolis (IN)

On-site

USD 150,000 - 230,000

Full time

24 hours ago

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Job summary

CREA, LLC is seeking a VP / Senior Data Engineer to lead the design, modernization, and management of the enterprise data platform across Microsoft Fabric, Power BI, Azure SQL, and related technologies. The role blends hands-on engineering with data governance, reporting, and executive stakeholder leadership, reporting to the Senior VP, BI & Analysis.

Open to leaders who can guide on-prem to cloud migrations, establish standards, and ensure secure, scalable data solutions across cloud and

Qualifications

Bachelor’s degree in computer science, data engineering, information systems, engineering, or a related field.

Responsibilities

Lead design, implementation, modernization, and support of scalable enterprise data platforms using Microsoft Azure and Microsoft Fabric.
Define practical data architecture standards for ingestion, transformation, storage, semantic modeling, reporting, security, and lifecycle management.
Design solutions using Fabric Data Lake, Warehouse, Data Factory, notebooks, pipelines, and semantic models based on business and technical requirements.
Guide modernization and migration of on-premises SQL Server workloads and data integrations to Azure SQL and Microsoft Fabric.
Evaluate platform capabilities, capacity needs, performance, reliability, and cost to support sustainable data services.
Lead Power BI report, dashboard, semantic model, and dataset development for executive, operational, and analytical reporting.
Administer and govern Power BI and Fabric workspaces, deployment pipelines, access, sharing, refresh schedules, gateways, and environment promotion.
Establish reporting standards for data modeling, DAX, Power Query, naming, documentation, certification, reuse, and lifecycle management.
Implement row-level security, object-level security, workspace roles, and controlled distribution of business information.
Monitor refresh reliability, query performance, capacity utilization, adoption, and report quality; troubleshoot and optimize issues.
Design, build, test, deploy, and maintain secure, reliable, and reusable ETL/ELT pipelines and data integrations.
Create ingestion and transformation processes for structured, semi-structured, and unstructured data from cloud and on-premises sources.
Use Fabric Data Factory, Azure Data Factory, SQL, APIs, and other integration methods to support batch and near-real-time use cases.
Implement orchestration, scheduling, dependency management, error handling, restorability, logging, monitoring, and operational documentation.
Build reusable frameworks and automation to reduce manual data processing and improve delivery consistency.
Design, develop, administer, and optimize solutions using Azure SQL Database, Azure SQL Managed Instance, SQL Server, and Fabric Warehouse.
Apply relational, dimensional, star-schema, and semantic modeling techniques to support reporting, analytics, and business operations.
Develop and optimize T-SQL, stored procedures, views, functions, indexes, and data transformation logic.
Manage data warehouse and lakehouse structures, historization, incremental processing, partitioning, and performance optimization.
Partner with application and infrastructure teams on secure connectivity, database migration, availability, backup, and recovery requirements.