Tyde Digital, a trusted business optimization consultancy, is looking for a highly analytical and detail-oriented Solution Architect to join our rapidly growing team.
At Tyde, we collaborate with businesses across diverse industries and regions, helping them enhance four key areas of their operations— people, processes, technology, and data. Our goal is to empower organizations with data driven decision-making, enabling them to achieve their strategic objectives.
As a Solution Architect at Tyde, you will play a critical role in designing and implementing innovative, scalable solutions that drive business transformation for our clients.
You will collaborate with stakeholders to understand business needs, analyze existing processes and technologies, and design tailored solutions that bridge the gap between current challenges and future goals. Leveraging your technical expertise and industry knowledge, you will guide the integration of new systems, optimize existing technology investments, and ensure solutions align with both client objectives and Tyde’s commitment to delivering measurable value.
We’re searching for passionate, forward-thinking, individuals committed to self-development, who thrive on solving complex problems, empowering businesses, and making a real difference.
At Tyde, you’ll have the chance to work on diverse projects, leverage cutting-edge technologies, and be part of a team that’s shaping the future of business transformation.
KEY SKILLS REQUIRED
- Architecting Data Solutions: Accountable for the design and development of end-to-end data architecture and BI solutions that ensure efficient data flow, storage, integration, and retrieval across various platforms (on-prem and cloud-based), whilst collaborating with data engineering resources.
- Data Modeling: Create and maintain complex data models (logical, physical, and conceptual) to ensure the consistency, integrity, and accessibility of data across the organization.
- BI Strategy & Frameworks: Develop the overall BI strategy, including selecting the appropriate tools and platforms, defining governance processes, and establishing best practices for reporting and analytics.
- ETL/ELT Processes: Design and oversee the development of efficient Extract, Transform, Load (ETL/ELT) pipelines for ingesting and processing large-scale data sets from multiple data sources.
- Collaboration with Stakeholders: Work closely with Business Leaders, Analysts, and other stakeholders to understand requirements, translate them into technical specifications, and deliver data-driven solutions that align with business goals.
- Data Governance: Ensure data quality, governance, and security practices are implemented across all data solutions to maintain compliance with relevant regulations and standards.
- Cloud & On-Premise Solutions: Design hybrid data environments that leverage both on-premises and Azure cloud technologies for data storage, analytics, and reporting.
- Performance Optimization: Continuously monitor and optimize the performance of the data architecture and BI systems to improve query efficiency, processing speed, and overall system reliability.
- Technical Leadership: Provide technical guidance and mentoring to Data Engineers, BI Developers, and other team members involved in the data lifecycle.
- Tool Selection and Evaluation: Lead the evaluation and selection of BI tools, platforms, and emerging technologies to ensure that the organization remains at the forefront of data analytics innovation.
REQUIREMENTS
- Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Information Technology) or equivalent experience.
- 10+ years of experience in a Solution Architect or a related role.
- Experience in extracting applicable data from databases using SQL.
- Experience in cloud computing platforms (AWS/GCP/Azure).
- Experience with BI tools like Power BI, Tableau, or similar platforms.
- Programming skills in languages such as Python, C#, or Java an advantage.
- Strong problem-solving abilities and attention to detail.
- Ability to work collaboratively in a cross-functional team environment.
- Knowledge of data governance and security best practices.
- Excellent verbal and written communication skills.
- A passion for constant improvement and learning.
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