Senior Tech Lead

Who are we?
Sanlam Life and Savings (SLS) is focused on serving our retail and corporate clients in South Africa and further developing our strategic advantages in the South African market. Sanlam Life and Savings consists of three clusters - Sanlam Corporate, Sanlam Retail Mass and Sanlam Retail Affluent. The Sanlam Life and Savings Office provides strategic direction, coordination and support to the three clusters, as well as performing governance oversight that includes assurance provided by second line of defense functions in SLS, to enable us to meet our business objectives. Role Description
You will lead our BI Technical teams to develop and operate our Customer and Sales Data Warehouses. You will establish BI Assets using our existing Data Platform, and both develop, as well as drive the implementation of platform extensions where required. You will also fulfill the role of solution architect where you will develop new patterns, and establish development procedures and processes. As a senior member of the team, you are expected to support and mentor BI developers, and contribute as part of the SBI IT leadership team. What will you do?
Main responsibilities
Engage with a wide range of technical stakeholders including data scientists, business analysts, data engineers, database administrators and solutions architects.
Ability to define a structured approach to problem solving and delivery against it.
Working with other data engineers and data modelers, you will design, implement, and manage data vaults, data transformations and data pipelines
Mentor BI developers within the team
Low error rate, and high data availability in deployed solutions.
Ability to cultivate a culture of efficient best practices and suitable process to deliver BI Assets for business consumption

**Key output/ tasks for this role**:
Design, document and communicate technical solutions that deliver on business requirements
Oversee all BI development / modelling activity incl. code reviews, issue resolution and general support
Develop technical standards and best practices
Identify opportunities to enhance and automate technical processes and solutions across BI projects and support operations
Support developers / modellers to develop data and analytical models
Form relationships and orchestrate delivery with key technical stakeholders across our business including architects
Engage with technology vendors and external technical experts when conceptualising, designing, or implementing technical solutions
Attend and present solutions at internal architecture forums
Designing (and assisting with design) of architecture used by specialists in solutions.
Constant refinement to standardize and implement new functionality based on experience and lessons learnt
Designing and building reusable artefacts to improve speed of delivery and reliability of solutions
Identifying performance enhancements for BI and Integration solutions
Troubleshoot technical issues such as database non-performance, integration failures and code failures.
Resolve critical data modelling issues impacting the functionality of BI products in production. What will make you successful in this role?

**Role Requirements**:
**Qualifications**:
Certifications or degree in Computer Science, Data Management, Data Engineering, Data Science, Data Analytics and Analytics technology specific certifications will be a strong recommendation.
Experience in three (3) or more of the following areas are required:
At least 5 years’ experience in Data Warehousing, or Business Intelligence, or Data Pipelines. With at least 12 months in a team lead role.
Experience in leading a team of senior software developers and analysts
Experience in managing services provided by 3rd party vendors
Demonstrated experience in delivering technical solutions that can be integrated into an on-premises BI platform
Ability to do cost estimations for new workloads
Familiarity with the use cases, business purposes and quality of the data.
Experience in software development processes and IT support management
Knowledge of database management system (DBMS) physical implementation, including tables, joins and SQL querying.
Data warehousing principles based on Kimball and / or Data Vault patterns is required
Knowledge and experience of structured data, such as entities, classes, hierarchies, relationships, and metadata.
Ability to combine data from multiple sources when needed for the analysis.

Knowledge of technical toolsets to perform all duties such as (but not limited to):
SAP Data Services, NiFi, Spark and SSIS; or other ETL / DI tools
SQL
SAP Hana (DB)
Cloudera / Hadoop
Cloud deployments and integration (especially AWS)
Some knowledge of Attunity, Cloudera, advanced visualisation technologies and data management experience is preferred and highly advantageous
Database exploration tools
Report generation tools
Scripting languages, especially Python, Java, Sparc

**Competencies**:
A proactive self-starter
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