CrawlJobs Logo

Data Engineering Architect

· Job Posted February 18, 2026
Apply Position
Job Link Share

Job Responsibility

  • Acting as a Senior Consultant/Solution Advisor
  • Technology partner: Advise on designing data architectures in Microsoft Azure
  • Empowering customer to spot and leverage business opportunities by unlocking the power of data
  • Providing technical and problem-solving expertise for client representatives and Lingaro project teams
  • Data Integration: Lead data integration efforts, including ETL processes, to ensure seamless data flow
  • Cloud Services Utilization: Leverage Azure, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
  • Advise on security measures and compliance standards in cloud environments
  • Continuously monitor and optimize data solutions for cost-efficiency
  • Data Governance: Advise data governance and quality standards
  • Collaboration: Work with cross-functional teams to understand requirements and provide data solutions
  • Mentoring junior team members in cloud data architecture best practices
  • implementing data ingestion pipelines from multiple data sources using Azure Data Factory, Azure Databricks and other ETL tools
  • developing scalable and re-usable, self-service frameworks for data ingestion and processing
  • designing, building, and managing SQL server databases in the Azure cloud
  • performing data modelling and integrating data from various systems
  • reviewing and implementing best practices for data manipulation
  • creating and supporting Azure Data Factory pipelines
  • Integrating end to end data pipelines to take data from data source to target data repositories ensuring the quality and consistency of data
  • designing the project architecture
  • Setup, monitoring Internal Developer Platform
  • UC migration
  • Building Databricks Asset Bundles
  • PR reviews
  • Data Model / Semantic Layer setup
  • Model QA automation

Requirements

  • 11+ years of professional experience in the Data & Analytics area
  • 5+ years of experience in the Senior Consultant role with a strong focus on Azure data solutions
  • Advanced knowledge and understanding of architecture, application design, systems engineering, and integration
  • Very good knowledge of cloud data services, data warehousing, big data technologies, and data lakes
  • Expertise in data modeling, data integration, and ETL processes
  • Proven experience in using of Microsoft ETL tools (Azure Databricks, Azure Data Factory, Data Lake and SSIS)
  • Programming skills for data analysis (especially PySpark, SparkSQL, Python, SQL)
  • Familiarity with data governance, data security, and compliance standards
  • Familiarity with agile methodologies and the ability to apply DevOps and DataOps principles to data pipelines
  • Ability to use ARM templates
  • Experience in working with JSON
  • Good understanding of business processes and the ability to drive automation through effective management

What we offer

  • Stable employment
  • “Office as an option” model
  • 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
  • Upskilling support
  • Internal Gallup Certified Strengths Coach to support your growth
  • Grow as we grow as a company
  • A diverse, inclusive, and values-driven community
  • Autonomy to choose the way you work
  • Create our community together
  • Activities to support your well-being and health
  • Plenty of opportunities to donate to charities and support the environment
  • Modern office equipment

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Engineering Architect

8 matching positions

Director, Data Architect and Engineering

The Director, Data Architect and Engineering leads technical strategy of data an...
Location
Location
China , Shanghai
Salary
Salary:
Not provided
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in big data platform management, data engineering
  • Proven leadership in cross-functional environments and large-scale transformation, focusing on delivery business value
  • Bachelor or above degree in Computer Science, Engineering, Data Science, Analytics or a related field
  • Hands-on experience with Data/AI engineering work
  • Strong knowledge of data architecture, data governance, and MLOps best practices
  • Familiarity with big data technology, especially cloud-native platform (e.g. Alicloud, Snowflake, Databricks, etc.)
  • Strong analytical, strategic planning, and project management skills
Job Responsibility
Job Responsibility
  • Define technical strategy, direction, and roadmap for data architecture and engineering
  • Lead and provide hands-on support to end-to-end lifecycle of GC Marriott’s data platform, including architecture design, technical roadmap development, implementation, and continuous optimization
  • Lead, mentor, and coach a team of Data/AI Engineers, fostering a culture of continuous learning, innovation, and accountability
  • Build and maintain strong, collaborative relationships with key technical stakeholders (GC/HQ), third-party vendors, industry partners, and core business teams
  • Oversee the development, implementation, and refinement of GC data governance framework
  • Provide technical oversight for data engineering and AI initiatives, ensuring alignment with architecture standards and business objectives
  • Drive the delivery of business value through data initiatives, measuring the impact of data products and tools on key business metrics
  • Stay abreast of emerging trends, technologies, and best practices in data & AI
  • Fulltime
Read More
Arrow Right

Director, Data Architect and Engineering

The Director, Data Architect and Engineering leads technical strategy of data an...
Location
Location
China , Shanghai
Salary
Salary:
Not provided
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in big data platform management, data engineering
  • Proven leadership in cross-functional environments and large-scale transformation, focusing on delivery business value
  • Bachelor or above degree in Computer Science, Engineering, Data Science, Analytics or a related field
  • Hands-on experience with Data/AI engineering work
  • Strong knowledge of data architecture, data governance, and MLOps best practices
  • Familiarity with big data technology, especially cloud-native platform (e.g. Alicloud, Snowflake, Databricks, etc.)
  • Strong analytical, strategic planning, and project management skills
Job Responsibility
Job Responsibility
  • Define technical strategy, direction, and roadmap for data architecture and engineering
  • Lead and provide hands-on support to end-to-end lifecycle of GC Marriott’s data platform, including architecture design, technical roadmap development, implementation, and continuous optimization
  • Lead, mentor, and coach a team of Data/AI Engineers, fostering a culture of continuous learning, innovation, and accountability
  • Build and maintain strong, collaborative relationships with key technical stakeholders (GC/HQ), third-party vendors, industry partners, and core business teams
  • Oversee the development, implementation, and refinement of GC data governance framework
  • Provide technical oversight for data engineering and AI initiatives, ensuring alignment with architecture standards and business objectives
  • Drive the delivery of business value through data initiatives, measuring the impact of data products and tools on key business metrics
  • Stay abreast of emerging trends, technologies, and best practices in data & AI
  • Fulltime
Read More
Arrow Right

Design Project Lead and Architect, Data Center Design, Engineering, and Construction

Meta is seeking a Design Project Lead and Architect experienced in the design an...
Location
Location
United States , Denver, CO +4 locations
Salary
Salary:
150000.00 - 209000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of professional experience in mission critical building design, construction and/or operations
  • Registered Architect, or equivalent licensure in Civil or Structural Engineering
  • Experience on large scale design and construction projects
  • Experience with industry standards, building codes and safety standards
  • Experience with Google Suite, Revit/BIM, Bluebeam, Autodesk, ACC, or similar design software applications
  • Project Management experience
  • Knowledge depth (SME) of building systems design and architectural details for steel, concrete, and mass timber structures
  • Knowledge in geotechnical/soils design, concrete and steel structural design, landscape architecture, sustainable design, interior/exterior finish systems, and design of culinary and physical security systems
  • Knowledge of mission critical building systems, including mechanical, electrical, controls, and fire protection systems
  • Knowledge of industry standards, building codes, and safety standards including IBC, ASCE, and European equivalents
Job Responsibility
Job Responsibility
  • Lead multiple projects through schematic design, design development, construction documents, construction administration and turn-over as Project Lead and technical domain lead for the Civil, Structural, Landscape, Architecture (CSLA) disciplines on new builds (greenfield), leased facilities, and retrofit projects
  • Lead end-to-end project planning including requirements gathering, defining scope, identifying key milestones, and allocating resources. Serve as the primary technical liaison between business stakeholders and design engineering teams
  • Set clear goals and expectations for teams, regularly tracking progress and communicating status updates to stakeholders. Ensure all project decisions support Meta’s broader organizational goals and technical vision
  • Facilitate regular project meetings, retrospectives, and reviews to drive transparency and continuous improvement
  • Collaborate with internal cross-functional stakeholders and external partners in resolving issues and leading risk mitigation strategies ensuring on-time and budget delivery of capacity with focus on safety, quality, operability and sustainability
  • Prepare and issue Request for Proposals (RFP), analyze and make award recommendations, manage and administer project/program level contracts, review/approve change cost proposals, value engineering proposals, invoices, shop drawings, submittals, requests for information, reports/audits/studies and other design related deliverables
  • Hold EoR teams accountable on deliverables and performance by providing actionable feedback, including from other stakeholders such as Construction Management and by participating in the project health reviews. Proactively identify risks and remove roadblocks to ensure on-time delivery of project deliverables
  • In collaboration with cross-functional stakeholders, analyze forward thinking ideas to identify and mitigate risks, and embedding lessons learned into current and future products. Drive opportunities to compress schedules proactively and in response to business needs
  • Participate in mock-ups, onsite testing, commissioning, and other quality checks throughout the project life cycle in partnership with cross-functional teams to ensure proper installation and commissioning of systems
  • Liaise between internal teams, consultants, and contractors across projects and campuses to ensure transparency, situational awareness of status, way forward, and timely resolution of issues
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Snowflake Architect or Data Architect

We are looking for a Data Engineer to help design, build, and scale a modern clo...
Location
Location
United States , Houston
Salary
Salary:
Not provided
enormousenterprise.com Logo
Enormous Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience in data engineering, data modeling, ETL/ELT, and cloud data platform development
  • Hands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns
  • Experience working in AWS cloud environments
  • Experience with Informatica or similar enterprise data integration platforms for extract-load and ingestion patterns
  • Experience with dbt for data transformations, testing, documentation, and analytics engineering workflows
  • Understanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog-based access
  • Familiarity with data cataloging, governance, lineage, metadata management, and policy-driven data access
  • Understanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts
  • Strong SQL skills and experience with Python or another data engineering language
  • Ability to work with business stakeholders to define data entities, relationships, metrics, and data product requirements
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources
  • Develop data ingestion and extract-load processes using Informatica, aligning with enterprise standards and existing in-house capabilities
  • Build transformation logic using dbt, including modular models, testing, documentation, and deployment workflows
  • Design and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform
  • Work with AWS-based data services and infrastructure, supporting applications and data products running in the organization’s AWS environment
  • Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns
  • Use Snowflake Catalog and Snowflake Horizon to support metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing
  • Collaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products
  • Work with domain experts to understand business concepts, entities, relationships, and terminology
  • Support ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings
Read More
Arrow Right

Manager, Data Engineering - Finance Data Foundations

Manager, Data Engineering - Finance Data Foundations The Manager, Data Engineer...
Location
Location
Canada , Toronto
Salary
Salary:
110000.00 - 130000.00 USD / Year
fourseasons.com Logo
Four Seasons
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 5-8 years experience Data Engineering
  • with experience in Azure using Databricks
  • Bachelor’s degree Required
  • MBA or Master’s in Engineering preferred
  • Expert in Data Engineering in Microsoft Azure Environment + Toolsets (ADF, Synapse, Data Bricks, Cosmos DB, FunctionApps, Logic Apps etc)
  • Lakehouse experience using Databricks
  • Azure platform administration
  • Data Governance Software experience
  • Microsoft Power BI delivery and support
  • Strong SQL query skills
Job Responsibility
Job Responsibility
  • Leading the delivery of finance domain data migration projects with clear milestones, quality controls, and operational readiness
  • Designing and maintaining reusable data ingestion and transformation frameworks aligned with enterprise engineering standards
  • Ensuring data consistency, lineage, and trustworthiness across finance and enterprise data domains
  • Collaborating with business and technical stakeholders to enable analytics, forecasting, and AI readiness for finance data
  • Driving operational excellence across engineering practices, optimizing for cost, performance, and maintainability
  • Design, develop, and maintain robust batch and streaming data pipelines across Azure Data Factory, Databricks, Informatica, and SQL environments, ensuring scalability, reliability, and operational efficiency
  • Closely work with vendors, contractors and other FS teams to operationalize the data migration process for the hotels
  • Implement and oversee CI/CD workflows, Infrastructure as Code (IaC), and automated testing frameworks (unit, integration, and data validation) with built-in monitoring and observability to meet defined SLAs and SLOs
  • Operationalize data quality by integrating Informatica IDQ into finance workflows for profiling, rule-based validation, and continuous data quality monitoring
  • Apply governance standards by embedding metadata, cataloging, and lineage practices in collaboration with the Data Strategy & Governance team
  • Fulltime
Read More
Arrow Right

SAP Datasphere Architect / Data Migration Architect

We are currently seeking a SAP Datasphere Architect / Data Migration Architect t...
Location
Location
United States , Remote
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of SAP experience
  • 10+ years of strong Data Migration experience
  • 7+ years of Data structure and methodology experience
  • 5+ years of ETL, Data warehousing, Data Goverance and data quality experience
  • Minimum 15 years of overall SAP experience, with at least 5 years of hands-on experience in a leadership role on large-scale SAP data migration projects
  • Minimum 10+ years of expertise in SAP S/4HANA and ECC data structures and migration methodologies for both brownfield and greenfield implementations
  • Minimum 7-8+ years of deep, hands-on experience with SAP data migration tools, including Migration Cockpit, SAP Data Services (BODS), and LSMW
  • Strong proficiency in ETL processes, data warehousing, and advanced SQL querying
  • Minimum 7-8+ years of familiarity with data governance and data quality tools like Syniti is a plus
  • Minimum 10+ years of in-depth understanding of SAP modules and their underlying data structures (e.g., Finance (FI/CO), Sales and Distribution (SD), Materials Management (MM), Production Planning (PP))
Job Responsibility
Job Responsibility
  • Serve as the single point of accountability for all data migration-related decisions, strategy, and execution
  • Lead and define the overall data migration blueprint and strategy, ensuring it aligns with project timelines and business objectives
  • Develop and maintain comprehensive data migration plans, including detailed cutover runbooks, schedules, and rollback procedures
  • Lead the end-to-end data migration lifecycle: extraction, cleansing, transformation, validation, loading, and reconciliation
  • Oversee data mapping from legacy systems to the new SAP S/4HANA and ECC environment for both master and transactional data
  • Manage and provide guidance to a team of data migration specialists, functional consultants, and technical resources
  • Establish and enforce robust data governance policies and standards throughout the migration process
  • Drive data cleansing, profiling, and quality assurance activities to ensure data integrity and accuracy
  • Design and implement automated data validation tools and scripts to accelerate reconciliation
  • Work closely with business data owners, functional leads, and technical teams to gather requirements and resolve data discrepancies
  • Fulltime
Read More
Arrow Right

Data Integration Architect – Enterprise Data Platforms

We are seeking a highly skilled Senior Data Engineer with strong expertise in da...
Location
Location
United States , Austin
Salary
Salary:
Not provided
dutechsystems.com Logo
Dutech Systems
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
Read More
Arrow Right

Cloud Solution Architect and Senior Cloud Solution Architect - Data and AI

We are looking for Cloud Solution Architect (CSA) and Senior Cloud Solution Arch...
Location
Location
United States , Multiple Locations
Salary
Salary:
85100.00 - 169800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 2+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
  • Authorization to work in the United States that does not now or in the future require employer sponsorship
  • 1+ years of experience with AI/ML and/or Generative AI technology
  • 2+ years of customer facing experience providing recommendations to, or collaborating with, mid-to-senior level executives to address and advance technology transformation initiatives, entablements, and outcomes, including Data and AI solutions
  • 2+ years of enterprise experience in ANY of the following: Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB
Job Responsibility
Job Responsibility
  • Seek to understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor
  • Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners
  • Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging SA subject matter expertise
  • Deliver according to MS best practices & using repeatable Intellectual Property (IP)
  • Apply technical knowledge to architect and design solutions that meet business and IT needs, create AI roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate
  • Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements
  • Maintain technical skills and knowledge, keep up to date with market trends and competitive insights
  • collaborate and share with the AI technical community while educating customers on Azure platform
  • Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications
  • Fulltime
Read More
Arrow Right