Senior Solution Architect

We are looking for a Senior Solution Architect

Key Skills & Competencies

Industry specific skills

• Background from Banking

• Experience working with Data Products

Solution Architect – Data-Centric Techno-Functional Expertise

An accomplished and hands-on Solution Architect with deep experience in end-to-end design and delivery of data-centric solutions. Proven track record of architecting and implementing 3–4+ complete enterprise-grade Data Warehouse and Data Lake solutions, aligning complex business needs with scalable technical architectures.

Brings a strong techno-functional blend with deep capabilities in:

• Data Modelling – Conceptual, Logical, and Physical modelling aligned to business domains and data products.

• Data Architecture – Design and delivery of modular, governed, and reusable data product architectures using

Azure, Databricks with Unity Catalogue or Snowflake.

• End-to-End Data Lifecycle Management – Ingestion, transformation, quality assurance, semantic modelling, and business consumption enablement.

• Data-Driven Design Thinking – Bridging business requirements into robust, scalable and governed data solutions.

• Domain-oriented semantic models and architecture patterns that ensure data usability, interoperability, and compliance across large federated ecosystems.

Unlike infrastructure-heavy roles, this profile brings depth in data solutioning, modelling, and lifecycle architecture, which is a critical need in modern cloud-native data platforms.

Personal skills

Communicative skills

• Presentation skills and the ability to adapt communication to the target group

• Very good communication and presentation skills with proven ability to collaborate with cross-functional teams

Leadership and collaboration skills

• Ability to collaborate and work effectively in teams

Problem solving and analysis

• Critical thinking and ability to identify core problems

• Strategic thinking and ability to find creative solutions

• Decision-making under uncertainty

Personal qualities

• Independence and ability to work with little supervision

• Flexibility and adaptability to new situations

Technical skills

Azure Databricks with Unity Catalogue

• Expertise in Azure Databricks: Extensive experience with Azure Databricks for data engineering, data science, and analytics solutions.

• Unity Catalogue: Proficiency in using Unity Catalogue for comprehensive data governance, access control, and lineage tracking across multiple environments.

Advanced Python Skills

• Advanced proficiency in Python for data engineering tasks, including designing and implementing ETL/ELT pipelines and developing reusable, modular code for efficient data transformations.

• Familiarity with Python libraries like Pandas, NumPy, PySpark, and Scikit-learn for advanced data manipulation and machine learning.

SQL Expertise

• Strong SQL skills to design complex queries and optimize database performance.

• Experience working with Azure databases like Azure SQL Database, Synapse Analytics, and Data Lake for querying, processing, and managing large datasets.

Git and CI/CD Expertise

• Version Control: Advanced experience with Git for managing code repositories, versioning, and collaborating in multi-developer environments.

• CI/CD Pipelines: Skilled in designing and implementing CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or Jenkins for automated testing, deployment, and monitoring.

API Development (Low Priority for Current Scope)

• Strong experience in developing APIs to integrate data solutions with various applications and systems.

• Proficient in building RESTful APIs using frameworks like Flask or FastAPI to expose data services securely and efficiently.

Cloud Data Architecture

• In-depth knowledge of Azure Cloud architecture, including services like Azure Data Lake, Synapse Analytics,

Data Factory, and Blob Storage.

• Hands-on experience in designing and deploying scalable, cloud-native data pipelines for large datasets.

Data Governance & Security (Low Priority for Current Scope)

• Experience implementing data governance frameworks, ensuring compliance with regulations like GDPR.

• Expertise in managing data quality, security, and integrity in enterprise data environments.

Technical Proficiencies

• Languages: Python, SQL, JavaScript (Optional -for API integration)

• Tools & Platforms: Azure Databricks, Unity Catalogue, Synapse Analytics, Data Lake, Data Factory, Azure SQL

Database, Git, Azure DevOps,

• Version Control: Git

• CI/CD Tools: Azure DevOps

Experience Summary

• 8+ years of hands-on experience in delivering end-to-end data solutions using Azure technologies.

• Expertise in Azure Databricks with Unity Catalog for large-scale data processing and governance.

• Advanced skills in Python and SQL for efficient data transformation and analysis.

• Strong experience in developing APIs, CI/CD pipelines, and working in Git-based environments for efficient deployment.

• Driving best practices in code quality, data architecture, and DevOps.