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Enterprise Data Architect
3 months ago
We are looking for an experienced Enterprise Data Architect to:
- Be accountable for designing, developing, and maintaining the enterprise-wide data architecture, encompassing analytics, reporting, transactional, and operational data systems.
- Lead the organization's data transformation initiatives, aligning with our shift towards a SaaS model and preparing our data infrastructure for the next 5-10 years.
- Drive the adoption of modern data technologies, including Data Lake and Data Lakehouse architectures, moving beyond traditional data warehouse approaches.
- Design and implement integration strategies and event-driven architectures to connect distributed applications and ensure data quality and effectiveness across the enterprise.
- Participate in the transition of transactional operations away from mainframe systems to more agile and scalable solutions.
- Develop strategies to prepare our data ecosystem for self-service analytics and advanced AI/ML/GenAI applications.
- Establish and enforce data discipline across the organization, including data governance, Master Data Management (MDM), and industry best practices.
- Collaborate with business and IT stakeholders to align data architecture with overall business strategy and objectives.
- Navigate complex organizational dynamics to drive data-related initiatives and transformations.
- Minimum of an associate's degree in a related field, with a bachelor's degree preferred.
- Minimum of 8-10 years of relevant work experience in enterprise data architecture, with a strong focus on modern data technologies.
- Extensive experience in designing and implementing Data Lake and Data Lakehouse architectures.
- Proven expertise in integration architectures and event-driven systems, with a track record of implementing such solutions in complex enterprise environments.
- Strong understanding of various integration patterns, messaging systems, and event streaming platforms.
- Experience in designing and implementing data quality processes within integration and event-driven architectures.
- Proven track record of leading enterprise-wide data transformation initiatives.
- Deep understanding of data governance principles, MDM, and data management best practices.
- Strong knowledge of cloud-based data solutions and SaaS architectures.
- Experience in preparing data infrastructure for AI/ML and self-service analytics capabilities.
- Excellent communication and presentation skills, with the ability to translate complex technical concepts for both technical and non-technical audiences.
- Demonstrated ability to navigate organizational politics and build consensus among diverse stakeholders.
- Proficiency in creating and maintaining architecture artifacts such as data flow diagrams, logical models, and physical data models.
- Strong foundational background in data integration, data quality, and data security principles.
- Experience with Agile methodologies and DevOps practices in the context of data architecture.
- Ability to research and evaluate emerging data technologies and their potential application within the organization.
- Skilled in providing strategic consultation to business and IT teams on data-related initiatives.
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Qualifications
Education
Required
- Associates or better
- Bachelors or better
Job Type: Full-Time
225 S East St
Indianapolis, IN, USA, 46202
ReqID: ENTER004699