Head of Data Architecture

KEY ACCOUNTABILITIES Data Architecture Design Lead data architecture design to support realtime event streaming data products and different machine learning models solving optimisation computer vision and LLM s problems This involves creating blueprints for data management systems to integrate centralize protect and maintain the data sources System Development Lead the design and support the implemention of largescale data processing systems capable of handling the volume velocity and variety of data that needs to be analyzed and processed Data Strategy Contribute and support of EGA s data strategy including the use of new technologies and practices to improve the quality reliability and efficiency of data extraction and its use in machine learning and data product applications Data Modelling Management Spearhead the creation and maintenance of conceptual logical and physical data models supporting both operational and AI use cases Oversee data integrity and quality assurance processes across upstream midstream and downstream Machine Learning Framework Lead the design of the ML OPs framework and define Design workflows and processes that accelerate the development and deployment of machine learning models ensuring that ML models are productionready and scalable Data Governance Lead and contribute to define policies and procedures for data governance in collaboration with the data protection officer and other stakeholders ensuring compliance with data privacy and protection laws Lead efforts of data governance platform integration Collaboration Collaborate with IT teams data engineers and senior stakeholders to ensure that the data architecture supports and helps achieve strategic objectives Lead in proposing buy in and drive the end solution Communicate effectively complex data concepts solutions proposals in simple language to nontechnical team members and senior leaders Senior Director C level Executive Committee Mentorship and Leadership Act as a mentor to data engineers 48 providing guidance and support in their professional development Promote a culture of performance collaboration and continuous learning within the data team Innovation and Continuous Improvement Stay uptodate with industry trends and new technologies Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability reliability and efficiency Championing and driving initiatives like event sourcing data contracts schema registries data lineage and automation downstream Problem Solving Drive solutions anticipate and contribute to resolve technical issues before they become roadblocks maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity I e alerting monitoring strategy change request frame work and automation scaling up and data partitioning strategy Project Management Coordinate and indirectly manage datarelated projects use cases every 3 month waves ensuring they are completed on time and within budget meeting or exceeding stakeholder expectations AUTHORITY DECISION MAKING Design authority on data architecture governance and technology selection to support scale up ambitions of usecases a year Validate data security protocols and resource allocation decisions based on usecase requirements Validation of technical design and solutions to support 10 digital capabilities based on industry4 0 principles QUALIFICATIONS SKILLS Domain Expertise Bachelor s degree required MS or PhD preferred Bachelor s in Data Science Computer Science Engineering Statistics and 10 years of relevant experience Minimum 10 years of data architecture experience utilising strong leadership skills including mentoring communication decisionmaking and project management Expert knowledge of the Big Data technology landscape beyond the buzzwords Hands on experience with big data platforms and tools such as Python Spark NoSQL Key Value stores Expert with batch and realtime processing frameworks Apache Kafka Apache Spark etc Expert design knowledge and hands on experienceof designing data pipelines and workflow management tools like Airflow relevant NiFi or Luigi Expertise of machine learning platforms and tools like TensorFlow PyTorch or scikitlearn Data frameworks suitable for LLM s Lead design and contribute to production Cloud DevOps environments and Datalake Data transformation ETL ELT jobs Experience of leveraging MS Azure ecosystem to manage the development and maintenance of cloud platform operations A broad set of technical skills and knowledge across hardware software systems and solutions development A proven track record of using quantitative analysis to impact key business or product decisions Solid grasp of and experience with implementing and operating software development methodologies A solid grasp of common statistical applications and methods A B tests and multivariate experiments probabilities regression Understanding of Agile Software Development Lifecycle and project planning execution skills Outstanding communicating skills with stakeholders at all levels managing stakeholders expectations and facilitate discussions across high risk or complexity or under constrained timescales Outstanding capability to establish enterprisescale data integration procedures across the data development life cycle and ensure that teams adhere to these Able to manage resources to ensure that data services work effectively at an enterprise level Up to date with data innovation and expert in investigating emerging trends in datarelated approaches performing horizonscanning for the organisation and introducing innovative ways of working Expert in Data integration design and can establish standards and well informed on best practice across different industries The candidate can distinguish how to keep those standards up to date and ensures adherence to them Good understanding of concepts and principles of data modelling and can produce maintain and update relevant data models for specific business needs Also shows good knowledge on how to reverseengineer data models from a live system Expert in Metadata management and understands how metadata repositories can support different areas of the business Capable of promoting and communicating the value of metadata repositories and knows how to set up robust governance processes to keep repositories up to date Expert in identifying and anticipating problems and know how to prevent them by linking how problems fit into the larger picture Has the ability to identify and describe problems and help others to describe them and knows how to build problemsolving capabilities in others Expert in setting up teambased data engineering standards for programming tools and techniques and can select appropriate development methods Act as an advisor on the application of standards and methods and ensure compliance and takes technical responsibility for all stages and or iterations in a software development project providing methodspecific technical advice and guidance to project stakeholders Technical Expert in predicting and advising on data engineering future technology changes that present opportunities for a product or programme Experienced with reviewing requirements specifications and defining test conditions with good understanding on how to identify issues and risks associated with work while being able to analyse and report test activities and results Agile Digital Experience Experience in Agile Development with specific Data Engineer Data Architect or similar experience preferred Understands relationship with Product Owner Agile coach Data Scientist Designer and rest of technical team Individual Skills Exceptional problemsolving skills demonstrated ability to understand business challenges structure complex problems develop solutions Ability to partner and influence key business stakeholders at all levels of the organization Strong skills in team leadership and networking ability to work across multiple organizations to accomplish diverse goals Exceptional presentation written and verbal communication skills Strong communication skills with ability to align the organization on complex technical decisions Active coach and mentor whose goals are to grow and maximize the team s potential Strong ability and enthusiasm around data strategy and ability to inspire team and organization around the usage of data You will be redirected to the company website to apply for this position