Data Solutions Architect (m/f/d) at Allianz Global Corporate & Specialty SE

Munich, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Data Engineering, SQL, Data Modeling, Azure, ETL, Data Migration, Python, Java, Data Governance, Communication, Agile, Big Data, DevOps, Cloud, Investment Performance

Industry

Financial Services

Description

We are seeking an experienced Data Solutions Architect (m/f/d) to design, implement, and optimize data solutions that drive business value across our organization. This role combines technical expertise with strategic thinking to create scalable, secure, and efficient data architectures that support analytics, reporting, and data-driven decision making. The ideal candidate will serve as a technical leader and trusted advisor, translating complex business requirements into robust data solutions. Key Responsibilities Design end-to-end data solutions including data models, integration patterns, processing workflows, and architectural blueprints for data warehouses, data lakes, and analytical platforms Serve as the gatekeeper for architectural decisions, evaluating and approving changes that impact data systems and integrity while ensuring solutions align with enterprise architecture standards Partner with business stakeholders to understand requirements and translate them into scalable, secure, and efficient technical data solutions that support analytics, AI/ML initiatives, and decision-making Establish technical data governance frameworks, standards, and best practices including data quality monitoring, validation processes, and compliance with privacy regulations and security requirements Provide technical leadership and mentorship to data engineering teams during solution development, deployment, and optimization initiatives Lead data migration and modernization projects, including legacy system transformations and technology evaluations for emerging data platforms Collaborate cross-functionally with analytics, DevOps, and business intelligence teams to ensure successful delivery of data projects within scope, timeline, and budget Create comprehensive documentation for data architecture, data flows, data lineage, and metadata management to support transparency and knowledge sharing Optimize data systems for performance, reliability, and cost-effectiveness, including monitoring, troubleshooting complex technical issues, and implementing automated testing frameworks Key Requirements 5+ years of experience in data architecture, data engineering, or related roles with proven track record designing and implementing enterprise-scale data solutions including data warehouses, data lakes, and real-time processing frameworks Strong technical proficiency in SQL, database design principles, and data modeling techniques including dimensional modeling, data vault, and normalized designs across multiple platforms (SQL and NoSQL) Hands-on experience with Azure cloud platform and its data services (Azure Data Factory, Synapse Analytics, Data Lake, SQL Database, etc.) with practical knowledge of ETL/ELT tools such as Azure Data Factory, Informatica, Talend, or other cloud-native solutions Experience with data migration and modernization projects, including legacy system transformations, data integration patterns, and API design principles Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related field with hands-on programming experience in Python, Java, Scala, or similar languages Proven experience working directly with business stakeholders to gather requirements, translate business needs into technical solutions, and communicate complex technical concepts to non-technical audiences Strong understanding of data governance, security, and privacy best practices including GDPR compliance, data quality frameworks, and regulatory requirements in enterprise environments Excellent communication skills both written and verbal in English; German and French proficiency preferred, with demonstrated ability to work effectively in agile, cross-functional project environments Preferred Qualifications Experience with big data technologies and modern data stack (Hadoop, Spark, Kafka, Airflow, dbt, Databricks) and Azure-native advanced analytics solutions Azure certifications (Azure Solutions Architect Expert, Azure Data Engineer Associate) and knowledge of machine learning platforms, particularly Azure ML and Cognitive Services Infrastructure as Code and DevOps experience (ARM templates, Bicep, Terraform) with container orchestration knowledge (Docker, Kubernetes, Azure Container Services) Multi-cloud experience (AWS, GCP) for migration scenarios and modern data platform integrations (Snowflake, Fivetran) Experience in asset management or real estate industries with knowledge of property management systems, real estate data standards, and market data integration Understanding of investment performance analytics and portfolio management including financial data handling and regulatory reporting requirements in asset management Knowledge of real estate valuation models and experience integrating market data, property analytics, and investment performance metrics Experience leading technical teams or architecture groups with proven ability to mentor engineers and guide complex data initiatives Data governance and stewardship leadership including establishing enterprise-wide data standards, quality frameworks, and compliance programs Vendor evaluation and procurement experience with ability to assess emerging technologies and drive strategic technology adoption decisions Benefits Onboarding: A mentor, a buddy program and a global welcome event will help you getting started. Learning: A large portfolio of continuous learning opportunities will help you staying relevant in your current role and growing into future workplace demands. Working place: An open and international working environment with a diverse and inclusive culture will inspire your everyday work. A working model which balances remote and office based work will give you the flexibility to organize the way you work. Benefits: A company pension scheme, well-being initiatives, sports offers and other local benefits will allow you achieving a positive work life balance. A leading global real estate investor and manager, PIMCO Prime Real Estate is a PIMCO company and part of the PIMCO real estate platform, focusing on the Core and Core+ segments of the market and managing the Allianz Group’s $85B real estate mandate. We manage a global investment portfolio c. $90B AUM, with an international team of c. 450 employees working in 16 offices in Belgium, China, France, Germany, Italy, Japan, Singapore, Spain, Sweden, the UK and the U.S. PIMCO’s real estate platform is one of the largest and most diversified in the world, with $174B in assets and a broad set of solutions that leverage decades of expertise across public and private equity and debt markets. Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Great to have you on board. Let's care for tomorrow.

Responsibilities

Design and implement end-to-end data solutions while serving as a gatekeeper for architectural decisions. Collaborate with stakeholders to translate business requirements into scalable data solutions and establish data governance frameworks.