Job DescriptionAs a Data Architect you will be expected to take an architecture lead role on our client's solution delivery engagements, with high levels of customer engagement.
This will involve ongoing analysis of business requirements throughout the lifetime of the service.
Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments.QualificationsA minimum of 5 years data architecture experience Data Architecture: frameworks, standards and principles, e.g.
DAMA-DMBOK, DSA, and relational/non-relational data modelling across conceptual, logical and physical domains. Data management: data quality, metadata management, reference and master data management, data integration & interoperability, and data storage. Data governance: business glossary, data standards, data catalogues, data dictionaries, and data lineage. Enterprise Data Warehouse/Lakehouse/DataMart's and Analytics Design. Experience in formal architectural tools, methods and documentationExperience with Utility customer environments beneficial, including CIM, CNAIM, RIGs data experience. Understanding of business data and its various sources – including but not limited to structured data within SQL Server, SAP S4/Hana, Oracle, MongoDB, PostgreSQL and unstructured data within multiple EDRMS and Content Management Systems.Understanding of streaming data technologies and methodologies.Experience in mainstream Cloud Data Lakehousing platforms (such as Apache Spark, Microsoft Fabric, Databricks, Snowflake) and associated industry standard/portable data formats (e.g., Delta Lake, Iceberg, Parquet, CSV, JSON, Avro, ORC, and XML)Experience in analysing/understanding business' enterprise data sources, data volumes, data velocity, data variety and data value and advising the right tools and techniques that would best fit each layer within the Lakehouse architecture.Experience in implementing a data lake schema based on the analysis of data lake use cases, performance and flexibility needs.An understanding of the Data lifecycle management within ETL and Data Streaming processesAn understanding of Data Quality Frameworks within Data Lakehouse ETL and Data Streaming processesAn understanding of Data Catalogue importance within a Data LakehouseExperience in using a range of tools for performing ETL/Data Orchestration.Experience in following best practice when performing ETL – such as Data cleansing, validation, enrichment, deduplication and lineage.Experience in using a range of tools and languages to access and retrieve data from the Data Lake.
Python, PySpark, SQL.Experience in implementing security and compliance with the Data Lakehouse to avoid unauthorized access, modification and leakage.Additional InformationAt Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life.
We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses.
Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees.
We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.Ekta Bahl - Talent Acquisition Capability Partner#LI-EB1