Data Architect

Requirements:

• 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software Engineering degree in Computer Science, Engineering or related field.
• Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines.
• Demonstrated proficiency with Python, JavaScript and/or Java
• Familiarity with version control/SCM is a must (experience with git is a plus).
• Experience with relational and NoSQL databases (any vendor) Solid understanding of cloud computing concepts.
• Strong organisational and troubleshooting skills with attention to detail.
• Strong analytical ability, judgment and problem-solving techniques Interpersonal and communication skills with the ability to work effectively in a cross functional team.

1.      Core Responsibilities

·        Build, maintain and manage a team capable of delivering the data operations needs of the banks data teams and other stakeholders, ensuring the team is right sized, motivated and focused on key goals and SLAs.

·        Maintain, develop and enhance the tools and environments used by the data teams to ensure availability of Development, Test and production environments

·        Manage all data operations database changes observing industry standard software development life cycle approaches with development, testing and deployment supported by comprehensive documentation

·        Manage releases of code from the engineering team to ensure separation of duty

·        As subject matter expert take a key contributing role in data initiatives such as infrastructure development, software tool evaluation, intra company data integration

·        Assess system performance and process efficiency making recommendations for change

·        Identify gaps and technical issues affecting data flows and lead the development of solutions to these

·        Work with internal and external stakeholders to ensure that data solutions are reliably populated on time

·        Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

·        Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.

·        Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

·        5 years previous experience supporting datawarehousing, data lake solutions is essential

·        5 years previous experience of Microsoft SQL Server SSIS is desirable

·        Experience with monitoring and incident management is essential

·        Experience of managing a technical team is desirable

·        Experience working in an IT environment

·        Experience working within banking or other financial institutions is desirable

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3.      Knowledge Requirements

·        Strong background of working in data teams

·        Robust knowledge of RDBMS principles and how best to manage environments

·        Strong knowledge of a standardised SDLC is desirable

Technical & Business Expertise:

-Hands on integration experience in SSIS/Mulesoft
- Hands on experience Azure Synapse
- Proven advanced level of writing database experience in SQL Server
- Proven advanced level of understanding about Data Lake
- Proven intermediate level of writing Python or similar programming language
- Intermediate understanding of Cloud Platforms (GCP) 
- Intermediate understanding of Data Warehousing
- Advanced Understanding of Source Control (Github)