Enterprise Data Architect Job at Hermeus (Los Angeles, CA / Atlanta, GA)

Enterprise Data Architect

The University of Manchester, one of the UK’s leading research universities, is ...

Location

United Kingdom , Manchester

Salary:

59966.00 - 71566.00 GBP / Year

The University of Manchester

Expiration Date

July 19, 2026

Requirements

Strategic leadership experience in enterprise data architecture
experience designing and delivering enterprise-wide data architecture
defining data models across conceptual, logical and application layers
establishing data standards, frameworks and governance
experience working across faculties, research, teaching and professional services
ability to build partnerships with academic, professional services and IT leaders
ability to influence senior stakeholders
expertise in data literacy, governance and design

Job Responsibility

Leading the design and delivery of enterprise-wide data architecture
creating a unified, trusted view of institutional data
defining data models across conceptual, logical and application layers
establishing standards, frameworks and governance for data security and reusability
establishing clear ownership, governance and accountability for institutional data
contributing to the development of an enterprise Data Hub
building partnerships with academic, professional services and IT leaders
championing best practice in enterprise data architecture
influencing senior stakeholders
building organisational capability in data literacy, governance and design

What we offer

Generous annual leave allowance including Christmas/New Year closure
Pension scheme membership
Well-being programme with counselling, fitness and leading sports facilities
Learning and development opportunities
Season ticket loans for public transport
Cycle to Work Scheme
Workplace nursery scheme
Staff recognition schemes
Staff discounts on a range of products and services including travel and high street savings
Employee Volunteering Policy offering three days paid leave each year for volunteering

Fulltime

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Enterprise Data Architect

The position is within ICG Technology, and we are seeking a Enterprise Data Arch...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years hand-on experience in Data Architecture, Data Science and/or Data Modeling expertise
Financial industry knowledge in risk management, wholesale lending, servicing and risk/regulatory reporting
Product knowledge in commercial banking, capital and investment banking and markets
Extensive experience in relational/hierarchical/OLTP/OLAP/Big Data concepts
Must have hands-on relational modeling, UML modeling and metadata management tools
Good knowledge of modeling and architecture tools such as Magic Draw, Erwin, Enterprise Architect et.
Experience in modeling and building complex IT systems
Expertise in Data Management methodologies involving architecture, modeling, storage, security
Good understanding of data governance - defining strategy, developing goals, principles and policies
Prior experience in data integration, interoperability and data quality solutions

Job Responsibility

Identify data and information needs for wholesale lending business of ICG
Develop architecture, strategy, planning, and problem-solving solutions on an enterprise level
Design and maintain blueprint of the information architecture, data integrations and controls aligned to the renewed business strategy
Develop conceptual, logical, physical models and metadata solutions
Define model and rationalize target state architecture, socialize with key stakeholders and conduct walkthrough
Unify data concepts across disparate front office, credit risk, servicing and reporting functions of ICG
Determine database structural requirements by analyzing client operations, applications and data from existing systems
Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists and governance teams
Collaborate with Enterprise, Sector and Federated architecture team and adopt recommendations
Incorporate data standards and implement governance model

What we offer

great team of creative, visionary and entrepreneurial thinkers
Tremendous opportunities to advance
unique journey of personal and professional development, accomplishment and satisfaction
strong culture of empowerment
flexible work
childcare benefits
robust training program
opportunities to move around the organization

Fulltime

Enterprise Data Architect

Robert Half's client in Surprise, Arizona is seeking an Enterprise/Lead Data Arc...

Location

United States , Surprise

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7+ years of experience in data architecture, data engineering, or enterprise architecture
Proven experience leading end-to-end data discovery and architecture design initiatives
Strong background in data modeling, system mapping, and enterprise data strategy
Hands-on experience with modern data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, SQL Server)
Deep understanding of data governance frameworks and best practices
Experience working in regulated environments with HIPAA and PCI compliance requirements
Strong knowledge of data integration methodologies (ETL/ELT, APIs, middleware tools)
Ability to translate business needs into scalable technical architectures

Job Responsibility

Lead comprehensive discovery of the current data environment, including systems, data flows, and storage platforms
Assess existing architecture (data warehouses, lakes, operational systems, cloud/on-prem)
Identify gaps, inefficiencies, redundancies, and data silos
Evaluate current data quality, accessibility, and scalability
Define and design a long-term (5–10 year) data architecture roadmap aligned to business growth
Provide recommendations on where data should reside (data lake, warehouse, cloud platforms, etc.)
Design scalable, high-performance data solutions to support enterprise reporting, analytics, and future AI/ML initiatives
Advise on total data volume growth and infrastructure planning (full-scale/data capacity planning)
Map data flows across critical systems (ERP, CRM, HRIS, and other business applications)
Develop enterprise data models and architecture diagrams

What we offer

Medical, vision, dental, and life and disability insurance
Company 401(k) plan
Free online training

Fulltime

Enterprise Data Architect

Hermeus is a venture-backed defense aviation company reclaiming the lost art of ...

Location

United States , Los Angeles; Atlanta

Salary:

142500.00 - 235750.00 USD / Year

Hermeus

Expiration Date

Until further notice

Requirements

Bachelors degree in Computer Science, Information Systems, Software engineering, or similar
6+ years building and scaling enterprise data platforms
Deep SQL expertise (query optimization, indexing, execution plans, modeling discipline)
Experience designing ODS-style integration layers and dimensional warehouse architectures
Experience integrating multiple enterprise systems (ERP, HRIS, manufacturing, Engineering systems, SaaS platforms)
Strong understanding of canonical modeling and fact/dimension design
Experience implementing incremental load and change-detection strategies
Experience supporting enterprise BI platforms (Power BI or equivalent)
Ability to translate business complexity into scalable data structures

Job Responsibility

Define and evolve the enterprise data architecture across PLM, ERP, MES, HR, IT
Establish dimensional modeling standards (fact/dimension conventions) and canonical entity definitions
Design scalable integration patterns that support onboarding new systems without structural rework
Align operational and analytical models
Define and maintain canonical enterprise entities
Establish enterprise-wide naming conventions, data ownership standards, data definitions across systems and modeling governance
Partner with application owners to align upstream system design with downstream analytics needs
Strengthen ingestion reliability, monitoring, and change-detection patterns
Improve performance through indexing, partitioning, and workload optimization
Implement scalable incremental load strategies and reconciliation processes

What we offer

100% employer-paid health care
401k & retirement plans
Unlimited PTO
Weekly paid office lunches
Fully stocked breakrooms
Stock options
Paid Parental Leave

Fulltime

Enterprise Data Architect

Define and maintain the overall data architecture for the program, including dat...

Location

Australia , Canberra

Salary:

Not provided

Randstad

Expiration Date

Until further notice

Requirements

Proven experience as a Data Architect on large-scale application development or transformation programs
Strong proficiency in data modelling (conceptual, logical, and physical)
Deep expertise in cloud data platforms and services (e.g., Azure SQL, Cosmos DB, Azure Data Factory, Synapse)
Familiarity with data governance, master data management (MDM), metadata, and data lineage principles
Knowledge of data governance frameworks, metadata management, identity management, privacy considerations and data security practices
Australian Citizens ONLY
Baseline clearance required

Job Responsibility

Define and maintain the overall data architecture for the program, including data domains, standards, and governance frameworks
Collaborate with project stakeholders, including business analysts, developers, and solution architects, to gather and understand data requirements
Design and document logical and physical data models for application components and shared services
Ensure data architecture aligns with enterprise standards, cloud best practices, and security and compliance requirements
Work closely with solution architects, developers, analysts, and integration specialists to ensure cohesive and consistent use of data structures and models across the program

Fulltime

Enterprise Data Architect

A Data Architect designs and implements enterprise data management systems that ...

Location

India , Pune

Salary:

Not provided

Aptiv plc

Expiration Date

Until further notice

Requirements

Data Modeling: Expertise in conceptual, logical, and physical data modeling techniques
Database Technologies: Proficiency with relational databases, NoSQL solutions, data warehouses, and data lakes
Big Data Frameworks: Knowledge of Hadoop, Spark, Kafka, and other distributed processing systems
ETL/ELT Processes: Design and optimization of data integration pipelines
Data Governance: Implementing data quality, master data management, and metadata management
SQL & Query Optimization: Advanced SQL skills and performance tuning expertise
Cloud Data Platforms: Experience with AWS, Azure, or GCP data services
Data Security: Understanding of data protection, encryption, access controls, and compliance requirements
Data Strategy Development: Aligning data architecture with business objectives
Enterprise Architecture: Understanding how data architecture fits within broader enterprise systems

Job Responsibility

Design and implement comprehensive data architecture frameworks and data models
Develop data management strategies, governance policies, and quality standards
Create and maintain data dictionaries, taxonomies, and metadata repositories
Collaborate with stakeholders to understand business requirements and translate them into technical specifications
Establish data integration processes between disparate systems
Implement security measures to protect sensitive data
Evaluate and recommend appropriate data storage solutions (relational databases, data warehouses, data lakes)
Guide ETL processes and data pipeline development
Mentor data engineers and analysts on best practices

Fulltime

Enterprise Data Architect

The Enterprise Data Architect will lead architectural initiatives across healthc...

Location

United Kingdom , London

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Proven experience as an Enterprise Architect within large, complex organisations
Strong hands-on experience delivering architectures across data platforms, analytics, and integration landscapes
Demonstrable experience operating architecture governance in live delivery environments
Strong understanding of NHS data landscapes, including acute trusts, ALBs, and system-level data flows
Familiarity with NHS Secure Data Environments (SDEs) and Federated Data Platform (FDP) concepts
Awareness of national initiatives such as Single Patient Record and DHSC Health Data Research Service (HDRS)
Understanding of the current and evolving NHS organisational model (DHSC, ALBs, ICBs, providers)
Strong understanding of modern data architectures, including cloud data platforms, data lakes, lakehouse patterns, and analytics platforms
Experience with Snowflake and/or equivalent enterprise data platforms
Solid grasp of data lifecycle management, metadata, lineage, governance, and information security in healthcare contexts

Job Responsibility

Define, maintain, and assure enterprise architecture artefacts including target operating models, reference architectures, roadmaps, and standards across healthcare data landscapes
Provide hands-on architectural direction to delivery teams, ensuring designs are implementable, scalable, secure, and aligned with enterprise principles
Act as a bridge between enterprise strategy and solution delivery, ensuring architectural intent is realised in practice
Establish and enforce architecture governance, including design assurance, architectural decision records (ADRs), and compliance with delivery standards
Define and maintain architecture patterns, standards, and guardrails across data, integration, cloud, and analytics platforms
Support investment decisions and technology selection through structured architectural assessment
Lead architecture across end-to-end data lifecycles, from ingestion and curation through analytics, research, and consumption
Provide architectural oversight of Secure Data Environments (SDEs) and Federated Data Platforms (FDPs), ensuring compliance with NHS and research governance requirements
Design and govern architectures leveraging Snowflake and modern cloud data platforms
Ensure appropriate separation and linkage between operational, analytical, and research data use cases

What we offer

Tailored benefits that support your physical, emotional, and financial wellbeing
Continuous growth and development opportunities
Flexible work options
Inclusive work environment
Range of Inclusion Networks (Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network, Parent Network)
Disability Confident Committed Employer
Guaranteed interview for applicants who declare a disability and meet the minimum requirements

Data Integration Architect – Enterprise Data Platforms

We are seeking a highly skilled Senior Data Engineer with strong expertise in da...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

7+ years of experience in Data Engineering and Data Integration
Strong expertise in Data Warehousing concepts and architecture
Hands-on experience with ETL/ELT tools (SSIS preferred)
Strong proficiency in SQL Server or other RDBMS
Experience building and maintaining data pipelines
Experience implementing data quality frameworks (QA/QC)
Hands-on experience with cloud data platforms (e.g., Snowflake)
Experience with BI tools (e.g., Power BI)
Experience with API integrations (e.g., MuleSoft)
Strong communication and stakeholder management skills

Job Responsibility

Define and implement data integration strategy, architecture, and roadmap (batch vs real-time, API vs ETL)
Design, develop, and maintain scalable data pipelines for internal and external data sources
Build and manage ETL/ELT processes using tools such as SSIS and modern data platforms
Develop API-based integrations and data transformation workflows
Ensure data quality through validation, cleansing, and reconciliation processes
Optimize data workflows for performance, scalability, and reliability
Implement monitoring, logging, error handling, and alerting mechanisms for data pipelines
Maintain documentation for data flows, mappings, and transformation logic
Ensure compliance with data governance, security, and regulatory standards (PII, etc.)
Collaborate with business and technical stakeholders to understand data requirements and deliver solutions

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