DATA INTEGRATION ARCHITECT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: September 27, 2024 - The Data Integration Architect possesses comprehensive expertise in enterprise data architecture, including design, management, storage, and deployment across cloud and hybrid environments, leveraging database systems like Oracle and SQL. Skilled in leading technical teams to develop and implement data solutions that align with business intelligence, analytics, and reporting best practices, while ensuring compliance with established architectures. Proficient in integrating advanced technologies such as Hadoop, Spark, and programming in Java, Python, or C# to enhance educational technology platforms.

Essential Hard and Soft Skills for a Standout Data Integration Architect Resume
  • Data Integration
  • ETL Tools
  • Data Warehousing
  • SQL
  • Cloud Platforms
  • Data Modeling
  • API Integration
  • Master Data Management
  • Data Governance
  • Python/Java Programming
  • Problem-solving
  • Communication
  • Collaboration
  • Adaptability
  • Critical thinking
  • Time management
  • Attention to detail
  • Leadership
  • Conflict resolution
  • Decision-making

Summary of Data Integration Architect Knowledge and Qualifications on Resume

1. BS in Information Technology with 7 years of experience

  • Strong knowledge of Cloud (Azure/GCP) native data integration services and tools, data lakes
  • Experience with Data ingestion, transformation, catalogs, cleansing, migration, governance, connectors
  • Experience with APIGEE Edge, REST APIs, Portals etc.
  • Experience with various messaging patterns to create a service layer architecture
  • Experience with Tibco Business Works 6.x, Enterprise Message Service (EMS)
  • Experience with Cloud Computing (AWS/Azure/GCP)
  • Experience with Container orchestration technologies (Kubernetes/Docker)
  • Experience with Microservices
  • Experience with JAVA/Python
  • Knowledge/experience within Supply Chain, Sales, e-commerce, loyalty, CRM, retail, mobile apps
  • Ability to manage projects and strong ability to influence others
  • Experience Agile/Product

2. BS in Computer Science with 5 years of experience

  • Experience in enterprise data design, management, storage, and deployment.
  • Experience with cloud data architecture and integrations, solutions for the cloud and hybrid/private cloud, and implementing the solutions.
  • Experience with database management systems and administration (Oracle, SQL, etc.)
  • Experience with SQL.
  • Experience in leading and guiding teams to deliver solutions that are in compliance with architectures and modeled after best practices.
  • Experience with people and performance management, providing direction, guidance and coaching.
  • Experience in business intelligence, analytics, reporting and data visualization.
  • Experience with big data, Hadoop, Spark and related technologies an asset.
  • Experience with Java, Python, C#
  • Experience with enterprise higher-education technologies.

3. BS in Data Science with 3 years of experience

  • Experience with extracting data from ERP systems to create and enhance data models used for big data analytics and decision-making processes.
  • Experience using Python, PowerShell, Perl or other scripting languages to extract and manipulate data.
  • Experience in creating complex SQL queries and functions, data structures and strong analytical problem-solving skills.
  • Experience working with messy data, building data pipelines and automation activities.
  • Experience working in an Agile-based environment.
  • Strong technical and troubleshooting techniques.
  • Special consideration will be given to strong Pricing business skills
  • ERP Systems experience - SAP ECC and/or CRM
  • Experience with database architecture, data engineering and data warehousing concepts
  • Experience coding in SQL
  • Experience in Enterprise Database Systems (Azure, MSSQL, Oracle, Cloudera, etc.)
  • Experience working with data modeling toolsets

4. BS in Software Engineering with 6 years of experience

  • Experience working in complex data integrations and data management platforms using SAP, non-SAP and third-party applications using technologies such as REST APIs, Graph QL, Enterprise Service Bus, ETL tools and SQLs.
  • Expert knowledge of design and implementation of data integrations using Microsoft SSIS, SQL Server, ASP.NET Core, Change Data Capture, Data Encryption / Decryption, SFTP etc. technologies.
  • Experienced in Python programming language for data processing and data integration.
  • Knowledge of Apache Kafka Streaming.
  • Proficient in translating business requirements into technical design and data models.
  • Highly experienced in defining architecture and best practices to manage large data volume and to provide very high-quality data just in time with very throughput.
  • Excellent communication and interpersonal and consultative skills to work effectively with vendors, peers, and IT management and staff.
  • Strong analytical and problem-solving skills.
  • Hands-on application center experience (onshore/offshore model).
  • Experience in building and maintaining data integration platforms.
  • Experience with SAP data integration.
  • Previous project leadership experience.
  • Understanding of best practices regarding system security measures
  • Understanding of coding languages (Java, JavaScript).

5. BS in Information Systems with 7 years of experience

  • Experience with Informatica Developer, Informatica Intelligent Cloud Services (IICS), any other ETL/DI tools (either on[1]premise or cloud).
  • Hands-on knowledge of Linux
  • Hands-on knowledge of working in an AWS environment
  • Hands-on knowledge of SQL Server and MongoDB is a must, other database environments are nice to have.
  • Knowledge of tools and environments like Google Merchant Center, Google Analytics 360, Google Big Query, Google Data Studio and other Google tools and API’s, AWS S3, Athena, CloudSearch, Dynamo, Glue and other Amazon tools and API’s, Algolia API’s, Contentful API’s
  • Knowledge of open-source Reporting, ETL, Data Quality/Profiling Tools
  • Knowledge of the capabilities and limitations of data integration tools (most importantly Informatica PC).
  • Ability to work with stakeholders, to understand detailed requirements and then design data integration workflows that meet that vision.
  • Be passionate about resolving data quality and data delivery pain points through great design.
  • Strong Experience implementing integration between SAP, S4 (all modules) & Other (Saas Applications as Salesforce)
  • Experience in leading technical deliveries.(CI/CD)
  • Experience on ESB & API layer (TIBCO/APIGEE)

6. BS in Computer Engineering with 8 years of experience

  • Experience in data integration and architecture including practical experience of implementing these technologies to provide tangible business benefits.
  • Understanding of data integration strategies and the technology platforms that underpin them such as (X12, I.C.E, EDIFACT, AS2, Liquid, XML/XSLT, APIM).
  • Strong understanding and skillset in how integration has evolved from an on-premise, centralized function towards being a digital, cloud and API-driven capability.
  • Knowledge of conical model data model design techniques and use in an enterprise-wide data/integration strategy.
  • Experience assessing technologies and vendors offerings in areas such as data integration platforms, data persistence, transformation, reporting platforms, ML, Blockchain, Cloud, security, data analytics and business intelligence.
  • Experience in the extraction of value from data, utilize BI toolsets to create tangible business benefits.
  • Experience in utilizing the Microsoft Azure technology stack.
  • Experience creating analytics use cases and implementing them, preferably within the MS Azure technology stack.
  • Understanding of modern database technologies including new innovations in the space.
  • Experience in a delivery-orientated IT environment using the agile methodology.
  • Experience working within a software delivery environment using Agile methodologies and tooling, such as Azure DevOps.

7. BS in Data Engineering with 7 years of experience

  • Experience implementing technology solutions and data migration and integration projects
  • Proficiency in implementing reliable, complex, secure, high performance and scalable data integration solutions on the Salesforce.com platform
  • Ability to lead architectural discussions and identify & assess solution alternatives
  • Hands-on experience with middleware, integration architecture patterns, and web service technologies
  • Experience collaborating with business and IT teams on requirements, design, security, infrastructure, networking, QA areas to ensure alignment and compliance.
  • Ability to work collaboratively within a team environment of cross-functional and cross-vendor teams.
  • Strong SQL skills
  • Strong experience in designing data models as part of Salesforce solutions
  • Strong experience with SSMS, SSIS, and integration tools such as KingswaySoft
  • Salesforce Administrator and/or Salesforce App Builder certification, or equivalent experience with Salesforce configuration
  • Solid understanding of data integration methodologies and expert-level experience with ETL from a variety of data sources
  • Proficient in MS Office Suite

8. BS in Business Information Systems with 5 years of experience

  • Experience with business intelligence software (Power BI, Domo, Tableau, or similar products)
  • Experience with cloud-to-cloud and hybrid integration architecture
  • Familiarity with Internet security protocols such as SSL/TLS, SSO, SAML, OAuth
  • Experience architecting for Big Data solutions is a plus
  • Strong analytical and organizational skills
  • Coachable, dedicated to improvement
  • Strong attention to detail, is a must
  • Hands-on and effective in a fast-moving, creative environment
  • Ability to process questions, problems, comments, objections and apply appropriate feedback, professionally and quickly
  • Ability to prioritize and balance multiple tasks while successfully achieving deadlines for client delivery
  • Possesses relationship building skills combined with a collaborative personal style with desire and drive for results
  • Strong interpersonal communication skills, both written and verbal.

9. BA in Management Information Systems with 6 years of experience

  • Efficient communication skills.
  • Strong organizational and leadership skills
  • Ability to convert business requirements to business processes and technical designs.
  • Proficiency with data modeling, manipulation, and distribution between applications.
  • Ability to work in a team-based setting and alone in a worldwide environment.
  • Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.
  • Adaptability and willingness to learn new skills, technologies, and frameworks.
  • Knowledge of project management methodologies, including those used to define the stages of a project and implement action plans (Waterfall and Agile)
  • Strong experience in Network & Infrastructure IT of various operating systems and databases.
  • Strong knowledge on Cloud, Saas Integration concept
  • Experience in API/ESB Concept, programming concepts and Data Integration design patterns.
  • Experience Designing API or Webservices (REST & SOAP)
  • Experience with architecting complex frameworks.

10. BA in Business Analytics with 10 years of experience

  • Experience in architecture, design and building complex applications. 
  • Experience with service-oriented architecture (SOA)
  • Deep understanding of Agile SDLC, DevOps and Cloud technologies in addition to exposure to multiple, diverse technologies, platforms, and processing environments.
  • Experience in data integration, data warehouse, and data analytics architecture and design principles. 
  • Knowledge of and experience with multiple data integration platforms
  • Solid understanding and experience with investment management-focused application platforms (Charles River, Eagle, IBOR technologies, and data management solutions).
  • Proficiency with Cloud Architecture and computing models (SaaS, IaaS, PaaS, etc.) with industry certifications a strong plus. 
  • Good understanding of strategic and new and emerging technology trends, and the practical application of existing and emerging technologies to evolving business and operating models.
  • Knowledge about various architectures, and patterns such as unified data management architecture (UDM), event-driven architecture, real-time data flows, non-relational repositories, data virtualization, etc.
  • A strong influencer who can integrate effectively into the organization, combining facilitation skills with a results orientation to deliver excellence and execution.
  • Good interpersonal and communication skills with the ability to lead cross-team collaboration and partnerships across a variety of internal and external constituencies.
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