This is a remote position.
Summary of role:
Data Solutions Architect to work within a dynamic remote-first data architectural capability to deliver cloud-based data solutions using best-in-class RDBMS ETL/ELT and Cloud platforms for blue-chip customers across a range of sectors.
You will lead cross-functional teams of Data Engineers Architects Business Analysts and Quality Assurance Analysts to provision data processing storage and visualisation capabilities in an Agile environment. You will be comfortable with stakeholder engagement and take overall ownership of the technical delivery of your team and the solution they are building.
Requirements:
- Proven experience in data architecture with a recent role as a Lead Data Solutions Architect or a similar senior position in the field.
- Proven experience in leading architectural design and strategy for complex data solutions using Snowflake and then overseeing their delivery.
- Experience in consulting roles delivering custom data architecture solutions across various industries. Experience with Insurance is an added advantage.
- Strong expertise in designing architecting and overseeing delivery of end-to-end data solutions (warehousing pipelines analytics) using Snowflakes Cloud Data Platform
- Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns.
- Experience in developing data product strategies with a strong inclination towards a product-led approach in data solution architecture.
- Extensive familiarity with cloud data architecture on platforms such as Snowflake AWS Azure and GCP. Integration of Snowflake with other cloud services (AWS Azure GCP) and big data tools.
- Understanding of cloud platform infrastructure and its impact on data architecture.
- Deep hands-on experience with Snowflakes platform features and best practices with Strong understanding of data modelling principles and techniques
- A solid understanding of big data technologies such as Apache Spark and knowledge of Hadoop ecosystems.
- Knowledge of programming languages such as Python R or Java is beneficial.
- Knowledge of ETL/ ELT processes (such as DBT) SQL NoSQL databases is added advantage.
- Experience with data visualisation tools and DevOps principles/tools is advantageous.
- Familiarity with machine learning and AI concepts particularly in how they integrate into data architectures.
- Proven background in designing modern scalable and robust data architectures.
- Comprehensive grasp of the data architecture lifecycle from concept to deployment and consumption.
- Strong knowledge of data management principles and best practices including data governance frameworks.
- Experience with data security and compliance regulations (GDPR CCPA HIPAA etc.).
- Exceptional leadership skills to manage and guide a team of architects and technical experts.
- Excellent communication and interpersonal skills with a proven ability to influence architectural decisions with clients and guide best practices.
- Experience with agile methodologies (e.g. SAFe Scrum Kanban) in the context of architectural projects.
- Ability to manage project budgets timelines and resources maintaining focus on architectural deliverables.
Requirements
- Matric and a bachelors degree in business administration Information Systems or related field.
- SAFe or Scrum certified.
Required Skills:
Snowflake expertise Cloud architecture ETL/ELT Python Spark
Required Education:
Bachelors degree in computer science Information Systems Finance or related discipline
This is a remote position.Summary of role:Data Solutions Architect to work within a dynamic remote-first data architectural capability to deliver cloud-based data solutions using best-in-class RDBMS ETL/ELT and Cloud platforms for blue-chip customers across a range of sectors. You will lead cros...
This is a remote position.
Summary of role:
Data Solutions Architect to work within a dynamic remote-first data architectural capability to deliver cloud-based data solutions using best-in-class RDBMS ETL/ELT and Cloud platforms for blue-chip customers across a range of sectors.
You will lead cross-functional teams of Data Engineers Architects Business Analysts and Quality Assurance Analysts to provision data processing storage and visualisation capabilities in an Agile environment. You will be comfortable with stakeholder engagement and take overall ownership of the technical delivery of your team and the solution they are building.
Requirements:
- Proven experience in data architecture with a recent role as a Lead Data Solutions Architect or a similar senior position in the field.
- Proven experience in leading architectural design and strategy for complex data solutions using Snowflake and then overseeing their delivery.
- Experience in consulting roles delivering custom data architecture solutions across various industries. Experience with Insurance is an added advantage.
- Strong expertise in designing architecting and overseeing delivery of end-to-end data solutions (warehousing pipelines analytics) using Snowflakes Cloud Data Platform
- Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns.
- Experience in developing data product strategies with a strong inclination towards a product-led approach in data solution architecture.
- Extensive familiarity with cloud data architecture on platforms such as Snowflake AWS Azure and GCP. Integration of Snowflake with other cloud services (AWS Azure GCP) and big data tools.
- Understanding of cloud platform infrastructure and its impact on data architecture.
- Deep hands-on experience with Snowflakes platform features and best practices with Strong understanding of data modelling principles and techniques
- A solid understanding of big data technologies such as Apache Spark and knowledge of Hadoop ecosystems.
- Knowledge of programming languages such as Python R or Java is beneficial.
- Knowledge of ETL/ ELT processes (such as DBT) SQL NoSQL databases is added advantage.
- Experience with data visualisation tools and DevOps principles/tools is advantageous.
- Familiarity with machine learning and AI concepts particularly in how they integrate into data architectures.
- Proven background in designing modern scalable and robust data architectures.
- Comprehensive grasp of the data architecture lifecycle from concept to deployment and consumption.
- Strong knowledge of data management principles and best practices including data governance frameworks.
- Experience with data security and compliance regulations (GDPR CCPA HIPAA etc.).
- Exceptional leadership skills to manage and guide a team of architects and technical experts.
- Excellent communication and interpersonal skills with a proven ability to influence architectural decisions with clients and guide best practices.
- Experience with agile methodologies (e.g. SAFe Scrum Kanban) in the context of architectural projects.
- Ability to manage project budgets timelines and resources maintaining focus on architectural deliverables.
Requirements
- Matric and a bachelors degree in business administration Information Systems or related field.
- SAFe or Scrum certified.
Required Skills:
Snowflake expertise Cloud architecture ETL/ELT Python Spark
Required Education:
Bachelors degree in computer science Information Systems Finance or related discipline
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