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Enterprise Data Jobs (NOW HIRING)

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130K/yr

This role is designed for a hands-on enterprise data architect with deep expertise in regulated financial services environments, modern cloud data platforms, enterprise data lifecycle management, and ...

Sarian, Inc.

Enterprise Data Architect

Jersey City, NJ · On-site

Enterprise Data Architect Location: Primary - NJ/NYC Secondary - Dallas/Charlotte/Atlanta/Chicago Fulltime Must Have Technical/Functional Skills Enterprise Data Architect in Data & Analytics will ...

Nastech Global

Enterprise Data Architect

New York, NY · On-site

Enterprise Data Architect Location: New Jersey, NYC, Dallas, TX/Charlotte, NC/Atlanta, GA /Chicago, IL Job Type: Full Time Must Have Technical/Functional Skills Enterprise Data Architect in Data ...

Aristocrat

Enterprise Data Architect

Las Vegas, NV · On-site

The Data Architect will be responsible for defining and evolving enterprise data architecture principles, collaborating with business partners and technical teams to ensure alignment with business ...

Sarian, Inc.

Enterprise Data Architect

Atlanta, GA · On-site

Must Have Technical/Functional Skills Enterprise Data Architect in Data & Analytics will play a key role in driving solution architecture design, evaluation, and selection, buy vs. build decisions ...

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How much do enterprise data jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for enterprise data in the United States is $71.92, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $82.45 per hour, depending on experience, location, and employer.

How does an Enterprise Data professional typically collaborate with other departments within an organization?

Enterprise Data professionals regularly work with cross-functional teams, including IT, business analysts, and department heads, to ensure data is accurately collected, integrated, and leveraged for business insights. This collaboration often involves understanding departmental data needs, translating business requirements into technical solutions, and facilitating data governance practices. Effective communication and coordination are key, as these professionals help bridge the gap between technical data management and business objectives, ensuring data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an Enterprise Data professional, and why are they important?

To thrive as an Enterprise Data professional, you need a strong background in data management, analytics, and database technologies, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, ETL systems, and certifications such as CDMP or AWS Data Analytics are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for translating business needs into data solutions. These skills ensure the integrity, accessibility, and strategic use of data to drive business insights and decision-making.

What is an Enterprise Data professional?

An Enterprise Data professional is responsible for managing, organizing, and securing the large volumes of data generated and used by a business or organization. Their role typically involves developing data strategies, ensuring data quality, integrating various data sources, and supporting data governance initiatives. They work to ensure that data is accessible, reliable, and used effectively to drive business decisions across the enterprise. These professionals often collaborate with IT, data analysts, and business leaders to align data management practices with organizational goals.

What is the difference between Enterprise Data vs Data Analyst?

AspectEnterprise DataData Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; certifications like CDMP or DAMA often preferredBachelor's in Statistics, Data Science, or related; certifications like Microsoft Data Analyst Associate common
Work EnvironmentTypically within large organizations managing enterprise-wide data systemsOften in various industries analyzing data sets to generate reports and insights
Employer & Industry UsageUsed by corporations to manage and govern enterprise data assetsEmployed across industries to interpret data and support decision-making

Enterprise Data professionals focus on managing and governing large-scale organizational data systems, ensuring data quality and compliance. Data Analysts interpret data to provide actionable insights, often working on specific projects or departments. While both roles require strong analytical skills, Enterprise Data roles emphasize data infrastructure and strategy, whereas Data Analysts focus on data interpretation and reporting.

What jobs make $1,000,000 a year?

In enterprise data roles, high-paying positions such as Chief Data Officer, Data Science Director, or Chief Analytics Officer can reach or exceed $1 million annually, especially in large corporations or tech firms. These roles typically require extensive experience, advanced skills in data management, analytics, and leadership, along with strong business acumen and often involve performance-based bonuses or equity components.

What jobs pay $500,000 a year in the US?

In enterprise data roles, high-paying positions such as Chief Data Officer, Chief Analytics Officer, or senior data executive can reach or exceed $500,000 annually, especially in large corporations. These roles typically require extensive experience, advanced skills in data management, analytics, and leadership, and often involve overseeing data strategy and infrastructure at an organizational level.

What does enterprise data mean?

Enterprise data refers to the comprehensive collection of information generated and used across an organization, including customer, financial, operational, and transactional data. Managing this data involves data governance, quality, and security practices, often utilizing tools like data warehouses and analytics platforms. For enterprise data roles, skills in database management, data modeling, and familiarity with data management tools are essential.

What is the highest paying data job?

In enterprise data roles, Chief Data Officer (CDO) and Data Engineering Manager positions tend to be among the highest paying, often earning six-figure salaries or more. These roles require extensive experience, leadership skills, and expertise in data management, architecture, and analytics tools.
More about Enterprise Data jobs
What job categories do people searching Enterprise Data jobs look for? The top searched job categories for Enterprise Data jobs are:
Enterprise Data jobs near you
Infographic showing various Enterprise Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,587 per year, or $71.9 per hour.

Enterprise Data Architect

Siritech Solutions Corp

Austin, TX • Hybrid

Full-time

Posted 16 days ago

Job description


Enterprise Data Architect (Data Management Strategy & Data Warehouse Modernization)

Total Required Experience in Years: 18+ Years

Mode of Work: Hybrid (3Days Onsite / 2 Days Remote), Texas locals only


Seeking an experienced Enterprise Data Architect to lead enterprise-wide Data Management Strategy and Data Warehouse Modernization initiatives. The consultant will provide strategic leadership in designing next-generation enterprise data platforms, cloud-based analytics solutions, and modern data architectures that support digital transformation, advanced analytics, and AI-driven decision making.

The ideal candidate will possess deep expertise in enterprise data architecture, cloud data platforms, modern data warehouses, data governance, emerging technologies, and enterprise architecture frameworks while collaborating with executive leadership and technical teams to define long-term data strategies and implementation roadmaps.

Key Responsibilities:

  • Lead enterprise Data Management Strategy development.

  • Define enterprise data architecture and modernization roadmaps.

  • Design next-generation cloud-native data warehouse solutions.

  • Architect enterprise data platforms supporting current and future business needs.

  • Develop execution plans, implementation roadmaps, and cost estimates.

  • Evaluate and recommend enterprise data technologies and platforms.

  • Lead technology selection and solution architecture activities.

  • Design scalable enterprise data integration and analytics architectures.

  • Develop customer engagement strategies for enterprise data initiatives.

  • Assist in defining enterprise data management organizational structure.

  • Drive cloud enablement and digital transformation initiatives.

  • Architect Data Lake, Lakehouse, Data Mesh, and Data Fabric solutions.

  • Implement enterprise Data Governance, Metadata Management, and Master Data Management (MDM) strategies.

  • Collaborate with business and technical stakeholders to align data initiatives with organizational objectives.

  • Anticipate project risks, bottlenecks, and technical constraints while recommending mitigation strategies.

  • Provide thought leadership on emerging technologies, AI/ML integration, and modern analytics platforms.

  • Prepare architecture documentation, executive presentations, and strategic recommendations.

  • Mentor technical teams and establish enterprise architecture best practices.

Required Skills:

  • Enterprise Data Architecture

  • Enterprise Data Management

  • Data Management Strategy

  • Data Warehouse Modernization

  • Cloud Data Platforms

  • Microsoft Azure

  • Amazon Web Services (AWS)

  • Google Cloud Platform (GCP)

  • Snowflake

  • Azure Synapse Analytics

  • Google BigQuery

  • Amazon Redshift

  • Databricks

  • Microsoft Fabric

  • Delta Lake

  • Data Lake Architecture

  • Lakehouse Architecture

  • Data Mesh

  • Data Fabric

  • Data Governance

  • Master Data Management (MDM)

  • Metadata Management

  • Data Quality Frameworks

  • ETL/ELT Architecture

  • Azure Data Factory

  • Informatica

  • Talend

  • dbt

  • Fivetran

  • Enterprise Solution Architecture

  • Cloud Architecture

  • Hybrid Cloud

  • TOGAF

  • Zachman Framework

  • AI/ML Integration

  • Generative AI

  • Docker

  • Kubernetes

  • Serverless Computing

  • DevOps

  • DataOps

Preferred Skills:

  • Decision Sciences

  • Digital Transformation

  • Enterprise Analytics

  • Business Intelligence

  • Cloud Migration

  • Enterprise Integration

  • Performance Optimization

  • Data Security

  • Executive Stakeholder Management

  • Strategic Technology Planning

Required Qualifications:

  • Bachelor\'s Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience).

  • Minimum 18 years of enterprise IT experience.

  • Extensive experience with Enterprise Data Management Architecture.

  • Experience designing enterprise data modernization solutions.

  • Experience developing enterprise solution architectures.

  • Experience implementing cloud-based enterprise data platforms.

  • Experience architecting solutions using emerging technologies and modern enterprise data landscapes.

  • Experience supporting State or Local Government agencies (minimum 2 years).

  • Strong leadership, presentation, communication, and stakeholder management skills.

  • Experience leading enterprise digital transformation initiatives.

Preferred Qualifications:

  • Experience leading enterprise Data Warehouse modernization projects.

  • Experience with Data Mesh and Data Fabric architectures.

  • Experience with AI/ML and Generative AI integration into enterprise analytics.

  • Experience with enterprise architecture frameworks such as TOGAF or Zachman.

  • Experience implementing modern cloud-native analytics platforms.

  • Experience mentoring enterprise architecture and data engineering teams.

Deliverables:

  • Enterprise Data Management Strategy

  • Data Architecture Roadmaps

  • Enterprise Solution Architecture

  • Cloud Data Platform Architecture

  • Data Warehouse Modernization Strategy

  • Technology Evaluation Reports

  • Data Governance Framework

  • Enterprise Data Models

  • Implementation Roadmaps

  • Cost Estimates

  • Executive Presentations

  • Architecture Diagrams

  • Technical Standards

  • Strategic Recommendations

  • Knowledge Transfer Documentation

Education:

  • Bachelor\'s Degree in Computer Science, Information Systems, Engineering, or related field (or equivalent work experience).