Data Architect Role
We are seeking an experienced Data Architect to join our team. This is a pivotal role in designing, building and maintaining robust data pipelines and architectures that support advanced analytics and AI initiatives.
About the Role
The successful candidate will have experience implementing real-world data engineering, machine learning, predictive analytics or data mining solutions using Python, R, Scala or similar languages.
* Data Engineering & Architecture – Help build and optimize scalable data platforms using Databricks, Snowflake and modern data stacks.
* Designing & Delivering AI & Data Solutions – Develop data models, analytics pipelines, AI/ML models and cloud-based solutions that drive business value.
* Client Collaboration – Work closely with business stakeholders to understand challenges and translate them into technical solutions.
* Technical Problem-Solving – Apply Python, SQL, cloud technologies (AWS, Azure, GCP) and data visualization tools (Tableau, Power BI) to solve real-world problems.
* Supporting Agile Project Delivery – Work in Agile teams to develop, test and deploy data solutions efficiently.
* Staying Ahead of Trends – Keep up with the latest AI, ML and data engineering advancements and contribute to innovation initiatives.
* Collaborate – Work closely with cross-functional teams to understand data needs and ensure our solutions align with business objectives.
Skills & Qualifications
* 1-3 years experience in Data and/or ML Engineering, with hands-on experience in either Python or SQL.
* Familiarity with at least one programming language (e.g. Python, Java, C++).
* Familiarity with ETL tools and data integration processes.
* Experience building various architecture and solution patterns, and data platform automation frameworks leveraging technologies like Airflow, Terraform (or similar technologies), Python etc.
* Knowledge of big data architectures and emerging trends in the field such as data mesh, fabric, medallion architecture.
* Experience with databases, data warehouses, data lakes or other storage solutions.
* Strong problem-solving skills and an ability to work collaboratively in a team setting.
Additional Skills & Experience
* Demonstrated knowledge of AI/ ML and Gen AI capabilities across a variety of technology vendors and cloud platforms.
* Hands-on development experience in at least one of the major hyper scaler platforms - GCP, AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake.
* Public sector experience is highly desired.
* Experience participating in stakeholder discussions, development and delivery of AI & Data solutions.
* Technical certifications will be highly regarded.
* Previous consulting or client-facing experience is highly regarded.