Senior Data Architect / Modeler at Clickatell

Clickatell is a global leader in mobile messaging and transaction services, which enable its customers to connect, interact and transact with their business partners and communities on the mobile phone. Video: Ontbytsake (Breakfast Matters) Profile of Clickatell Clickatell's global footprint means that it can deliver short message services (SMS) through it’s next-generation Clickatell Message eXchange (CMneXt) to over 960 mobile networks in over 220 countries and territories, with the potential to reach 6 billion mobile phone users - more than 80 percent of the world’s population. In addition, with Clickatell Transaction eXchange (CTX), it provides the essential link between mobile consumers and their financial institution, with services like airtime top-up. More than 15,000 enterprise, government, medium and small business customers and application developers have embraced Clickatell’s technology solutions. Founded in 2000, Clickatell is headquartered in Redwood City, California, USA.

Purpose

• Clickatell is looking for a change champion to drive Clickatell’s Data Vision to the next level of Data  Ecosystem. We are currently transforming our business model, and Data is pivotal in this transformation. We  are looking for obsession and passion, we are looking for an enabler and a trainer, an innovator and a  team player. 
• The right person will have a practical knowledge of Cloud data platforms and a very good knowledge of  next generation Data concepts and technologies – think Data Meshing and Economy of Data. Together  with the Data Engineering Lead, and DBA Lead this role is essential to continue advancing our modern  data foundation that will simplify and catapult the use of Gen-AI on behave of both external and internal  business cases. 

We Do The Right Things

Responsibilities of the Role

• Accountable for accelerating the adoption of Clickatell’s Reference Data Architecture while  providing data architecture direction and delivering required architectural artifacts – Conceptual,  Logical & Physical Data Models. 
• Provide data architecture and 3-level modelling direction for ongoing and new development  projects in alignment with Clickatell’s Data Strategy and Business Value preposition. 
• Responsible for the design of highly scalable and reusable patterns of data ingestion and processing  that will transform and enrich a variety of datasets into reusable and scalable assets. 
• Assess current AWS based solutions (performance and cost) and design and rollout new Data 
• Services in favour of Clickatell’s Data Domain Architecture.o Provide subject matter expertise and technical leadership on the data architecture disciplines while  ensuring all solutions are documented and communicated effectively to both, Data and Application  Development teams. 
• Work closely with the Database Management, Engineering and BI and Analytics teams in the  adoption of latest AI trends to optimize their functions and data products. 
• Contribute to the continuous upskilling and coaching of the DATA team members while embracing  cutting edge technology trends, and champion their rollout and adoption
• Perform problem resolution and root cause analysis along with recommending and implementing  preventative techniques.
• Protect Clickatell’s information, intellectual property and corporate data systems in accordance with  prescribed guidelines 

We Are On A Learning Journey

Requirements of the Role

• B-Tech or bachelor's degree in engineering, computer science, informatics or math.

Work Experience

• Experience and knowledge of AWS Big Data services. Athena, Redshift, Kinesis, Kafka,  Glue, S3, Lake Formation
• A strong understanding of various database technologies, such as SQL databases (e.g.,  PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra), is  essential.
• Proficiency in programming languages like Python, Java, or Scala is often required for  developing custom data solutions and automation scripts.
• Knowledge of big data technologies like Hadoop, Spark, and related ecosystem  components is valuable for handling and processing large volumes of data.
• Understanding data visualization tools - Power BI an asset
• Experience with incremental delivery - Agile and Scrum framework. 
• Hands on experience leading large-scale global data warehousing and analytics projects.
• Experience with complicated account hierarchy, security groups, VPCs, AWS managed  services, S3, ELB, EC2 Auto Scaling, Lambda
• A background working in a high-volume payment transaction environment, or mobile  technology platforms and systems integration would be advantageous and be able to demonstrate a sustained track record of delivering high-quality outputs, on-time and to  product or business specifications. 

Knowledge and Ability

• Results oriented and hands-on 
• Assertiveness: ability to communicate effectively and explain a point of view  convincingly. 
• Clear thinker: simplify data strategy into clear actions to team, set priorities for self and  makes clear decisions.
• Communication: excellent verbal and written communication skills. The candidate must  have great inter- and intra-personal skills. 
• Customer Focus: identify and effectively respond to the diverse needs of development  department’s customers.o Teamwork: ability to work reliably and responsibly with internal and external colleagues to  achieve departmental and organisational goals. 
• Relevant knowledge in different development, database and business intelligence tools, techniques and environments to develop and deliver quality applications and  documentation.
• Complete familiarity with Agile and traditional methods, particularly Waterfall, Scrum and  Kanban
• Have problem solving skills, logical thinking and analytical abilities. 
• Display foresight be systematic and provide orderly planning and have attention to detail.

Method of Application