Senior Data Designer- Enterprise Data & Analytics Full-time Job

Development

Hands-on, sleeves-up design, modeling, development, and delivery are expected as a matter of course. Strong working knowledge of Azure services and components, and the ability to stitch together various components towards a scalable, reliable and sustainable enterprise solution. Production experience delivering CI/CD pipelines across Azure and vendor products. Key knowledge of architectural patterns across code and infrastructure development. Contribute towards the design and development of the enterprise standards. Delivery

Ensure project goals are achieved with quality and on time in alignment with the stakeholders expectations. Ability to work on complex projects and in a distributed environment. Escalate when necessary and promptly Work in close collaboration with other team members in the Enterprise Data & Analytics Platform team to ensure Development/Delivery aspects are well represented in the project s requirements and deliverables. Methodology

Incorporate agile ways of working into the delivery process utilizing DABL (Discovery, Alpha, Beta, Launch) Lead with modern data design and test driven development. Individuals will work as part of a product-centric delivery team(s) that will deliver value independently while fully embracing integrated DevOps approaches. Ownership

Take ownership of the delivery/development projects and help steer until completion. Governance

Maintain governance that allows projects and stakeholders to manage overall project performance and manage program risks within the global nature of some of the programs. Forward looking :

Remain flexible towards technology approaches to ensure we are taking advantage of new technologies. Keep abreast of industry developments in analytics and interpret how these would impact services and present new opportunities. Quality, Risk & Compliance :

Ensure all risks and issues associated with owned projects are promptly recorded and managed in the appropriate Risk & Issue logs. Ensure all Risks and Issues have clear action/mitigation/contingency plans defined, named action owners, and timelines for completion. Technical Architecture

Be conversant with technical architecture to contribute to design discussions in partnership with the Delivery/Development Lead and dedicated Analytics & Data Architect. Key Technical skills and experience required.

MS/BS degree in Computer Science, Engineering, Data Science or equivalent experience, with a preference on experience and proven track record. An ideal candidate would have an impressive hands-on work history in an advanced, recognized, and innovative environment. Data engineering experience and seasoned coder in the relevant languages: Python, SQL, Scala, Java etc. 5+ years in Data Platform experience- specific to owning and enabling capabilities within an enterprise data ecosystem, including Data Management practices (Analytics/Platform) 5+ years experience with the Azure data and analytics stack: Databricks, Data Factory , SQL DW,Cosmos DB, Power BI, Power Apps, AKS, etc. 5+ years of experience integrating and supporting various enterprise data tools, Talend, Collibra, Synapse/Snowflake , etc. Production experience delivering CI/CD pipelines across Azure and vendor products. Key knowledge of architectural patterns across code and infrastructure development. Fully conversant with big-data processing approaches and schema-on-read methodologies. Preference for a deep understanding of Spark, Databricks, and Delta Lake and applying them to solve data science and machine learning business problems. Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc. Experience with visualization tools and their application: developing reports, dashboards, and KPI scorecards. Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification and user access provisioning. Experience articulating the business value of analytics projects and progressing solutions from MVP to scaled-up production solutions. Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations. Ability to develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements. The ideal candidate possesses excellent communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.