Senior Solutions Architect - Data & Analytics

Placements24; Mossel Bay; Hybrid; ZAR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Salary & bonus structure

Remote work

Health insurance

Retirement plan

Paid time off

Learning opportunities

Job summary

Placements24 seeks a Senior Solutions Architect focused on Data & Analytics for a fully remote role based in Mossel Bay, Western Cape. You will shape the data strategy, design scalable platforms, and drive data-driven decision making across the organization.

You will lead big data initiatives, collaborate with data scientists and analysts, ensure governance and security, and mentor the analytics team in a fast-paced FinTech environment.

Qualifications

• Master's degree in a quantitative field is required.
• 7+ years of experience in data architecture, engineering, or related roles.
• Proven experience with large-scale data warehousing and big data solutions.
• Strong knowledge of cloud data platforms and ETL/ELT tools.

Responsibilities

• Design scalable data platforms, data warehouses, data lakes, and ETL/ELT pipelines.
• Lead technical design and implementation of big data solutions (Spark, Hadoop, cloud services).
• Develop data models and architectures for BI, analytics, and ML initiatives.
• Collaborate with data scientists, analysts, and stakeholders to meet data needs.
• Ensure data quality, governance, and security across platforms.
• Mentor data engineers and analysts; optimize processing performance and cost.

Skills

SQL

Data modeling

Data architecture

ETL/ELT orchestration

Big data

BI tools

Education

Master's degree in Computer Science, Data Science, Statistics, or related quantitative field

Tools

AWS Redshift

S3

Glue

Azure Data Lake

Databricks

GCP BigQuery

Cloud Storage

Job description

About the Role

Our client, a pioneering FinTech company situated in the scenic coastal town of **Mossel Bay, Western Cape**, is seeking an experienced Senior Solutions Architect specializing in Data & Analytics. This role is pivotal in shaping the company's data strategy, designing and implementing scalable data platforms, and driving data-driven decision-making across the organization. As a fully remote position, you will collaborate with a global team, leveraging advanced data technologies to solve complex business challenges. This is an opportunity to work with cutting-edge tools in a dynamic, fast-paced environment, contributing directly to the innovation and growth of a leading financial technology firm.

Key Responsibilities

• Design and architect robust, scalable, and secure data platforms and solutions, including data warehouses, data lakes, and ETL/ELT pipelines.
• Lead the technical design and implementation of big data solutions using technologies such as Spark, Hadoop, and cloud-native services.
• Develop data models, schemas, and architectures that support business intelligence, analytics, and machine learning initiatives.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.
• Ensure data quality, integrity, and governance across all data platforms.
• Evaluate and recommend new data technologies and tools to enhance analytical capabilities.
• Provide technical leadership and mentorship to data engineers and analysts.
• Optimize data processing performance and cost-efficiency.
• Contribute to the development of data strategy and roadmaps.
• Ensure compliance with data privacy regulations and security best practices.

Requirements

• Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in data architecture, data engineering, or a related role, with a strong focus on data solutions design.
• Proven experience designing and implementing large-scale data warehousing and big data solutions.
• In-depth knowledge of cloud data platforms (e.g., AWS Redshift, S3, Glue; Azure Data Lake, Databricks; GCP BigQuery, Cloud Storage).
• Expertise in ETL/ELT tools and techniques, and data pipeline orchestration.
• Proficiency in SQL and experience with various database technologies (relational, NoSQL).
• Understanding of data modeling techniques and principles.
• Experience with data visualization and business intelligence tools is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a remote, collaborative team environment.

Benefits

• Our client offers a highly competitive salary and bonus structure, reflecting the senior nature of this role.
• As a fully remote employee, you will enjoy the flexibility of working from home, with provided resources for an optimal home office setup.
• Comprehensive health insurance, a generous retirement fund, and ample paid time off are standard.
• We invest in our employees' growth through continuous learning opportunities, including access to online courses, certifications, and virtual conferences.
• Join a team that values innovation, collaboration, and work-life balance in the beautiful setting of **Mossel Bay**, even while working remotely.