Data Architect
London, England, United Kingdom
Orion Innovation
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Job Title: Data Architect
Location: Wembley, London, UK
Type of role: Hybrid working model role with 2-3 days in office every week
Job Description:
Orion Innovation Solutions UK Ltd requires a Data Architect for Sports vertical who will be directly reporting to the vertical Delivery Manager/Head. Position is for Wembley, London, UK. This will be a hybrid working model role with 2-3 days in office every week This specialist role is to be played in a Software Development Team that runs on Agile Scrum principles, building, and working on enterprise grade software systems on top of the latest tech stacks in cloud platform.
Our mission is to help build a better working world and we can’t do it without the right people – exceptional people who want to work with the best, develop their skills as leaders and create positive change.
The data architect role in Orion’s delivery department is responsible for designing, creating, implementing along with the team, deploying with help of DevOps, and managing with updated documentation of an organization's data architecture. She/He ensure that the data assets align with the overall business strategy, support the software development process, and meet the requirements for data reliability, accessibility, and security.
Essential Functions of the Job:
- Data Architecture Design: Develop and maintain the data architecture for the software solutions, including databases, data warehouses, data lakes, and other data storage systems.
- Data Modeling: Create and manage data models, including logical, physical, and conceptual models, to ensure that they support the application requirements and business processes.
- Database Management: Oversee the design, implementation, and maintenance of databases, ensuring their performance, reliability, and scalability. Leverage automated script features/ orchestration in Azure cloud or in GCP
- Integration: Design and implement data integration solutions to connect disparate data sources and ensure seamless data flow across systems. Especially the legacy systems and data flow between various vendors/application pods
- Data Governance: Establish and enforce data governance policies and procedures to ensure data quality, consistency, and security.
- Collaboration: Work closely with software developers, integration testers, load testing team, solution architects, product managers and business stakeholders to understand their data needs and provide solutions.
- Technology Evaluation: Evaluate and recommend data-related technologies and tools to improve data management and support new business requirements.
- Performance Optimization: Monitor and optimize the performance of data systems to ensure efficient data retrieval and processing.
- Documentation: Create and maintain documentation related to data architecture, data models, data flows, and data management processes.
- Compliance: Ensure that data architecture and management practices comply with relevant regulations and industry standards.
Analytical/Decision Making Responsibilities:
- Analyze and resolve business and application problems.
- Assess opportunities for application and process improvement and prepare documentation of rationale to share with team members and other affected parties.
- Adhere to high-quality documentation principles that helps delivering solutions on-time and on-budget.
- Prepare reports, manuals and other documentation on the status, operation and maintenance of software.
- Demonstrates strong analytical and situation problem-solving skills
Knowledge and Skills Requirements:
- Should be having uncompromising attitude towards process & data quality adherence
- Ability to repeat as many times as possible the quality measures towards data governance
- Strong team player skills to motivate & guide development & deployment team
- Strong communication skills to oversee personnel that work along with you.
- Should display a high degree of adaptability to listen and understand ever evolving business demands
- Successfully manage the daily challenges of a data governance space
Other Requirements:
- Internally motivated, able to work proficiently both independently and in a team environment
- Strong communication skills with both internal team members and external business stakeholders
- Strong initiative to find ways to improve ideas & processes for the targeted result
- Sports domain knowledge is a definite value add-on to this role
Required Qualifications:
- Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
- Proven experience (8+ years) as a Data Architect, Data Engineer, or in a similar role in software development.
- Handson experience with cloud services of database, datalake, ETL, audit and security
Technical Requirements:
- Exposure to JIRA & confluence usage is mandate
- Must have been worked in 5+ years the least in Agile scrum model
- Understanding of cloud data platforms (e.g., AWS, Azure, Google Cloud)
- Proficiency in database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL).
- Experience with data modeling tools (e.g., ERwin, ER/Studio, PowerDesigner).
- Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
- Experience with ETL tools and processes (e.g., Informatica, Talend, Apache Nifi).
Certification Requirements (preferred):
- Any certification from Azure data services/architecture space
Orion Innovation is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data BigQuery Computer Science Confluence Data governance Data management Data quality Data Warehousing DevOps E-commerce Engineering ETL GCP Google Cloud Hadoop Industrial Informatica Jira Kafka MySQL NiFi Oracle PostgreSQL Privacy Redshift Scrum Security Snowflake Spark SQL Talend Testing
Perks/benefits: Career development
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