Enterprise Data Architect

Job Cloud Inc.
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure Collaborative Software Information Systems Data Architecture Information Engineering Data Governance Data Systems Document-Oriented Databases Information Lifecycle Management Meta-Data Management Metadata Repositories
+14 more
PowerDesigner Release Management Cloud Services Technical Data Management Systems Enterprise Data Management Google Cloud Data Strategy Togaf Information Technology Collibra Integration Frameworks Data Management Physical Data Models Stream Processing

Job description

a Senior Enterprise Data Architect to lead enterprise wide data architecture strategy and execution. This role is critical to establishing a scalable, secure, and governed data foundation that enables data driven decision making and long term business value. The Senior Enterprise Data Architect partners closely with business data stakeholders, data product teams, and cross functional technology teams to ensure alignment between data architecture and business objectives.

Responsibilities

Define and maintain the enterprise data architecture strategy including data models, integration frameworks, governance standards, and data lifecycle management in support of the customer s business goals

Collaborate with business data stakeholders and data product teams to translate business needs into technical data solutions aligned to business value

Develop and maintain conceptual, logical, and physical data models to ensure consistency and scalability across the enterprise

Establish and enforce data governance processes including data quality, security, compliance, and metadata management

Lead architectural reviews to ensure adherence to enterprise data architecture standards and best practices

Identify opportunities to optimize the data landscape by reducing redundancy, improving integration, and increasing accessibility

Enable reuse of data assets, schemas, and patterns to improve efficiency and accelerate delivery

Evaluate emerging data technologies such as cloud native data platforms, artificial intelligence driven analytics, and real time data processing through proof of concept initiatives

Manage enterprise data architecture tools and repositories such as data catalogs and metadata platforms

Act as a bridge between data product teams, solution architects, and business stakeholders

Drive a Data Architecture Community of Practice to promote collaboration and industry thought leadership

Develop and document data architecture standards and guidelines for enterprise use

Communicate data strategy and business drivers clearly to technical and non technical audiences

Manage the enterprise data portfolio including recommendations for platform upgrades, training, and new technology adoption

Support the customer s Emergency Operation Plan by ensuring data availability and integrity during critical operations

Requirements

Bachelor s degree in Information Systems, Computer Science, Data Science, or a related field from an accredited institution

Minimum of twelve years of information technology experience with at least seven years in data architecture or enterprise data management roles

TOGAF certification required

Deep expertise in data architecture best practices, data modeling, governance, and integration standards

Experience collaborating across business units, data engineering, security, and infrastructure teams

Experience with enterprise data management tools such as Collibra, Informatica, Alation, or similar platforms

Strong knowledge of cloud data platforms including AWS, Azure, or Google Cloud

Familiarity with data governance frameworks and regulatory compliance requirements such as GDPR or CCPA

Experience using data modeling tools such as ERwin, PowerDesigner, or similar

Strong analytical and problem solving skills related to complex data challenges

Preferred Qualifications

Master s degree in a related field

Experience in regulated industries such as electric or gas utilities

Experience with change management, release management, and data lifecycle management practices

Work Environment and Physical Requirements

Ability to communicate effectively through written and verbal channels in person or via virtual collaboration tools

Ability to operate standard office equipment including personal computers

Ability to work regular business hours with occasional additional hours as required, Ability to perform effectively in a dynamic and evolving work environment

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:15 min

Bridging operational and analytical systems using formal data contracts

Matthias Niehoff Matthias Niehoff · WWC 2024

1:42 min

System architecture for ingesting and processing enterprise data

Sandeep Kusuma Sandeep Kusuma · WWC Europe 2026

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:19 min

Collecting essential system and environmental data automatically

Nishil Patel Nishil Patel · WWC 2025

Videos

See all

Related articles

See all