Logo
ZipRecruiter

Data Architect

ZipRecruiter, Lititz, Pennsylvania, United States, 17543

Save Job

Job DescriptionJob DescriptionOur client is a leading entertainment provider company, and it leads the industry in innovation, scale, and service. They are now looking to add to their team and are looking to hire a "

Data Architect ”. This role will be based in

Lititz, PA, and is 100% onsite.

Essential Responsibilities

Develop and maintain enterprise data models, data flow diagrams, and integration patterns.

Design scalable data architectures across cloud (Azure, AWS) and on-prem environments

Architect data pipelines and storage solutions using platforms like Azure Data Warehouse, Databricks.

Define data integration strategies across ERP, CRM, HCM, and other enterprise platforms.

Work with Enterprise Applications, Analytics and DevOps to plan and prioritize data integrations, ingestion, security and quality.

Collaborate with DevOps and Enterprise Applications or other applicable teams to ensure seamless data movement.

Establish data governance policies, metadata management, and data quality frameworks.

Design data flows into AWS/Azure Data Warehouse(s) and associated tools for analytics, ML, and reporting.

Enable advanced analytics and AI by designing data structures optimized for machine learning and real-time insights.

Partner with AI teams to ensure data readiness for Agentic AI and predictive modeling.

Support Power BI, Power Platform, and other visualization tools with curated datasets.

Work closely with Enterprise Applications, Architects and business stakeholders.

Lead data architecture reviews and contribute to enterprise architecture boards.

Minimum Qualifications

Bachelors in a technology field or equivalent experience

4+ years of experience in data architecture or commensurate experience in engineering or enterprise architectural roles

Live event and/or services & manufacturing company experience

Expertise in Cloud data platforms (Synapse, Databricks, Snowflake)

Strong knowledge of data modeling, ETL/ELT and data integration tools such as Mulesoft

Familiarity with Salesforce, ERP and HCM data

Experience managing a data governance effort and framework

Technically capable and credible

Knowledge of the Autodesk suite is a value add