Senior Data & Integration Architect Job at Alter Domus (London)

Senior Data Architect

Experienced Data Architect to design, develop, and implement comprehensive enter...

Location

India , Noida; Chennai; Bangalore

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

11+ years of experience in data engineering/management roles
3+ years in enterprise-level data architecture and data governance
Proven experience of defining the global architecture of the Single Source of Truth and its three components (Access, Knowledge, Trust)
Design and document data models and architecture frameworks aligned with group standards
Integrate real-time and streaming (event-driven architecture) capabilities into the overall design
Proven experience implementing solutions using Snowflake (Preferable) and Databricks
Strong background in Data Governance, Data Quality, and Master data Management (MDM)
BE / B.Tech/ MS/ M.Tech/ MCA qualification

Job Responsibility

Design, develop, and implement enterprise-wide data architecture, models, and integration frameworks
Establish and enforce data governance standards, policies, and best practices
Design, build and optimize data platforms using Snowflake (preferable) and/or Databricks
Oversee and guide complex data transformation for large and diverse datasets, ensuring Data integrity, quality, and performance
Drive the creation and maintenance of advanced data models, to support both analytical and operational needs
Ensure consistency and reusability of models across business domains and systems
Implement MDM, Lineage tracking, and Data cataloguing
Guarantee consistency between technical design and trust framework (quality, compliance, security)
Collaborate with business stakeholders to align data strategy with organizational objectives, document use cases, and design processes, ensuring alignment with technical implementation
Provide guidance to engineering teams for solution design and implementation

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Senior Integration Architect & iPaaS Engineer

Archer is an aerospace company based in San Jose, California building an all-ele...

Location

United States , San Jose

Salary:

163200.00 - 204000.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

10–12+ years of progressive experience in integration engineering, architecture, or iPaaS development
Substantial hands-on experience with Workato or an equivalent iPaaS platform (e.g., Boomi, Mulesoft, SAP Integration Suite, SnapLogic)
Deep understanding of various integration mechanisms: REST APIs, SOAP, event-driven architecture, EDI, and file-based methods
Demonstrated experience integrating major Enterprise systems (SAP, Workday etc.) with cloud-based SaaS applications
Proven ability to create professional integration diagrams, decision frameworks, sequence diagrams, and detailed architectural documentation
Solid foundational understanding of data flow design, payload modeling, and data quality principles

Job Responsibility

Define and govern enterprise integration patterns and decision frameworks (e.g., API, EDI, event-driven, file/SFTP, Workato orchestrations)
Architect complex end-to-end integrations spanning ERP (e.g., SAP S/4), SaaS, data platforms, and MES
Establish rigorous standards for API contracts, event schemas, cataloging, error handling, observability, and security
Develop reusable integration components and enforce best practices across development teams
Build, test, and deploy integrations using Workato or comparable iPaaS platforms
Create reusable recipes, connectors, and accelerators
Troubleshoot and optimize existing flows for superior performance, reliability, and maintainability
Provide immediate, hands-on support for critical production incidents
Design comprehensive source-to-target data mappings and integration payload structures
Ensure integrations deliver clean, complete, and high-quality data to consuming analytical systems (e.g., Snowflake, Foundry)

Fulltime

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Senior Data Solutions Consultant

As a Senior Data Solutions Consultant, you’ll lead some of Addepar’s most comple...

Location

United States , New York

Salary:

112000.00 - 175000.00 USD / Year

Addepar

Expiration Date

Until further notice

Requirements

7+ years of experience in technology, finance, or consulting, with a strong record of leading complex data or financial system integration projects
Expert in Python, with hands-on experience manipulating large datasets, building ETL pipelines, or automating data workflows
Deep domain knowledge in investment management, including a strong understanding of diverse asset classes (equities, fixed income, derivatives, alternatives), financial instruments, and portfolio accounting principles
Significant hands-on experience working with investment data sources, including security master files, transaction and pricing data, and market data feeds
Exceptional communication skills with the ability to translate technical concepts into business outcomes
Creative problem-solver who operates with ownership and accountability in ambiguous environments
Works effectively across teams and functions to deliver measurable impact
Highly organized, detail-oriented, and continuously looking for ways to improve efficiency and scale
Thrives in a fast-paced environment with evolving priorities and global stakeholders

Job Responsibility

Lead complex client implementations: Architect and execute data conversion projects to extract, transform, and load historical portfolio data from clients’ legacy systems into Addepar
Design scalable data solutions: Translate unique client requirements into flexible, sustainable workflows that enable accurate reporting and analysis
Own a portfolio of high-impact projects: Manage multiple concurrent client engagements, prioritizing effectively and driving each to successful completion
Elevate team capability: Build or enhance internal tools, scripts, and frameworks that improve efficiency, data quality, and scalability across the team
Consult and collaborate: Serve as a subject-matter expert for investment-related data and partner closely with Services, Sales, Product, and Engineering to deliver tailored client outcomes
Mentor and influence: Provide guidance and technical mentorship to peers, contributing to best practices and knowledge-sharing across the Data Solutions function
Champion operational excellence: Identify and lead opportunities to streamline, automate, and improve our delivery processes and workflows

What we offer

bonus
equity
benefits

Fulltime

Data Architect

We are seeking an innovative and detail-oriented Data Architect to join our team...

Location

Netherlands , Nieuwegein

Salary:

3000.00 - 6000.00 EUR / Month

Sopra Steria

Expiration Date

Until further notice

Requirements

HBO or WO education in IT or a related field
approximately 2 years of experience as a Data Architect
TOGAF certification is preferred
extensive knowledge of data structures, data mapping, and data modelling techniques (e.g., datavault, dimensional, semantic)
proficiency in cloud technologies and experience with complex data integration problems
expertise in ETL/ELT processes, AI, Data Science, SQL and No-SQL databases, RDF (Linked Data), and Knowledge graphs
strong understanding of data privacy, security, and regulatory compliance (e.g., GDPR)
experience with data governance and data quality management practices
excellent analytical and problem-solving skills
strong communication abilities to effectively liaise between technical and non-technical stakeholders

Job Responsibility

Develop and maintain a comprehensive data architecture strategy aligned with organisational goals
design, implement, and oversee robust data models and structures to support business intelligence and analytics initiatives
collaborate with cross-functional teams to understand data requirements and translate them into effective architectural solutions
create and maintain data flow diagrams, entity-relationship diagrams, and other technical documentation
establish data governance policies and ensure adherence to data quality standards
implement data security measures and ensure compliance with relevant regulations (e.g., GDPR)
evaluate and recommend new technologies and tools to enhance data management capabilities
provide technical leadership and mentorship to data engineers and analysts
develop and present data architecture roadmaps to senior management and stakeholders
continuously monitor and optimise data architecture performance and scalability

What we offer

A permanent contract
a gross monthly salary between €3,000 and €6,000
8% holiday allowance
a generous mobility budget including options such as an electric lease car with an NS Business Card, a lease bike, or alternative transportation
8% profit sharing on target (or a fixed OTB amount depending on the role)
27 paid vacation days
a flex benefits budget of €1,800 per year plus an additional percentage of your salary
a home office setup with a laptop, phone, and monthly internet allowance
hybrid working
development opportunities through training, knowledge-sharing sessions, and inspiring (networking) events

Fulltime

Senior Data Engineer

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IK...

Location

Netherlands , Leiden

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

Job Responsibility

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

What we offer

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Fulltime

Enterprise Data Architect

We are seeking a highly skilled and collaborative Data Architect to join our Ent...

Location

United States , Columbus

Salary:

167000.00 - 184000.00 USD / Year

Abercrombie & Fitch Co.

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or related field
advanced degree preferred, or combination of relevant skills and experience
10+ years of experience in technical leadership within large-scale organizations (retail experience preferred)
Proven expertise in enterprise data architecture, ideally in cross-functional or federated environments
Strong understanding of data modeling, metadata management, and data integration
Experience with modern data platforms (Snowflake, Databricks), cloud providers (AWS, Azure, GCP), and streaming technologies (Kafka, Spark)
Practical experience designing production-ready cloud platforms and implementing AI/ML models at scale
Demonstrable experience with data governance tools, semantic models and frameworks
Excellent communication, stakeholder management, and change leadership skills
Ability to translate complex technical concepts into actionable business value

Job Responsibility

In partnership with Data Strategy teams, determine the business and technical capabilities needed to align strategies with execution
Own and author data capability maps aligned with business functions
Translate business needs into domain-aligned data models
Act as a Strategic Though Partner and Enabler of AI/ML initiatives
Advise business and technology leaders on AI-readiness of systems and platforms
Identify opportunities for data reuse, integration, and optimization
Champion the development of data products
Define data architecture and analytics capabilities to enable real-time visibility, predictive modeling, and data-driven decision-making
Leverage data to identify trends, risks, and opportunities
Serve as subject matter expert and a leader inside our AICoE and CCoE

What we offer

Incentive bonus program
401(K) savings plan with company match
Annual companywide review process
Flexible spending accounts
Medical, dental and vision insurance
Life and disability insurance
Associate assistance program
Paid parental and adoption leave
Access to fertility and adoption benefits through Carrot
Access to mental health and wellness app, Headspace

Fulltime

Senior Data & Integration Architect

Alter Domus

Location:
United Kingdom; Luxembourg , London ▼
Luxembourg

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 16, 2026

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