Solution Architect (Data)
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
What do we do
As a pioneer for digital transformation GFT develops sustainable solutions across new technologies from cloud engineering and artificial intelligence to blockchain/DLT. With its deep technological expertise strong partnerships and comprehensive market know-how GFT offers advice to the financial and insurance sectors as well as in the manufacturing industry. Through the intelligent use of IT solutions GFT increases productivity and creates added value for clients. Companies gain easy and safe access to scalable IT-applications and innovative business models.
Who are we
Having started in Germany in 1987 GFT Technologies has grown to become a trusted Software Engineering and Consulting specialist for the international financial industry counting many of the worlds largest and best-known Banks as our clients. We are an organization that empowers you to not only explore but raise your potential and seek out opportunities that add value. At GFT diversity equality and inclusion are at the core of who we are. Ensuring a diverse and inclusive working environment for all communities is one of the main pillars of our diversity strategy based on our core values and culture. We have been certified for 2022/23 as a Great place to work in the APAC region. So if you want to have the opportunity to work with an outstanding and progressive organization this position could be right for you.
Sign-on Bonus: Eligible for candidates who are currently employed elsewhere and able to join GFTwithin 30 daysof offer acceptance.
Role Summary
We are seeking an experienced Data Architect with a minimum of 10 years of experience in data engineering and architecture. As a Data Architect at GFT you will define design and oversee the data architecture that underpins our clients digital transformation initiatives. You will play a critical role in ensuring that data is modeled integrated and governed effectively across multiple platforms with a strong focus on scalability performance and compliance. You will collaborate with business stakeholders solution architects and data engineering teams to ensure our data strategies align with client objectives and regulatory standards.
Key Activities
Data Architecture Ownership: Define and maintain the enterprise data architecture blueprint covering data lakes warehouses pipelines metadata and master data
Data Modeling & Design: Design conceptual logical and physical data models that support analytical and operational use cases
Technology Leadership: Evaluate select and integrate modern data platforms and tools (cloud-native and on-premises) to support evolving client needs
Governance & Standards: Establish data governance security and quality frameworks in line with industry best practices and regulatory requirements (e.g. GDPR PCI-DSS)
Collaboration: Partner with data engineers data scientists and business teams to ensure alignment of data solutions with business goals
Scalability & Performance: Architect high-performance data platforms capable of handling large-scale real-time and batch processing workloads
Migration & Modernization: Lead the transition from legacy data systems to modern cloud-based architectures (AWS preferred)
Thought Leadership: Stay current on emerging trends in data architecture analytics and cloud technologies bringing innovation to client engagements
Mentorship: Guide and mentor data engineers to adopt best practices in data engineering and architectural design.
Required Skills
Experience: 10 years in data engineering/architecture with at least 35 years in a data architect role
Data Architecture Expertise: Proven experience in designing data lakes data warehouses and real-time/batch pipelines
Modeling Tools & Methods: Strong knowledge of data modeling (dimensional relational NoSQL) and metadata management
Cloud Platforms: Hands-on experience with AWS (Glue Redshift EMR S3 Lambda) or equivalent cloud platforms
Big Data & Processing: Expertise with distributed systems (Spark Hadoop Hive) and data orchestration (Airflow)
Databases: Proficiency in both relational (PostgreSQL MySQL) and NoSQL (DynamoDB Redis) databases
Security & Compliance: Solid understanding of data privacy governance and compliance frameworks
Collaboration & Communication: Strong stakeholder management with the ability to translate business needs into technical data strategies
Nice to have:
Experience with streaming platforms (Kafka Kinesis RabbitMQ)
Familiarity with data science platforms (Databricks SageMaker)
Exposure to BI and analytics tools (Tableau Power BI Looker)
Certifications such as AWS Certified Data Analytics Specialty or AWS Solutions Architect Professional
Experience in financial services or other regulated industries
What we offer you
You will be working with some of the brightest people in business and technology on challenging and rewarding projects in a team of like-minded individuals. GFT prides itself on its international environment that promotes professional and cultural exchange and encourages further individual development with the benefits below:
- Competitive salary
- 13th-month salary guarantee
- Performance bonus
- Professional English course for employees
- Premium health insurance
- Extensive annual leave
(Due to the high volume of applications we receive we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding.)
Key Skills
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
About Company
We see opportunity in technology. In domains such as cloud, AI, mainframe modernisation, DLT and IoT, we blend established practice with new thinking to help our clients stay ahead.
