Data Platform Engineer - Data & AI CoE
hace 3 días

Job Description

As a Data Platform Engineer in the Azure Center of Excellence (Data & AI Pillar), you will leverage a client-centric approach to translate our client’s business strategy into solutions and services that lead to successful business outcomes.

You have long-term experience helping clients amplify their existing data and analytic platforms by designing and implementing state-of-the-art, best-in-breed data and advanced analytics platforms on the cloud.

You are driven to innovate and strive to achieve performance targets and establish Avanade as a leader in Data & AI and as a #1 Employer of Choice.

Within a Highly Collaborative Environment You Will :

  • Contribute to help our clients modernize and scale their Data Platforms
  • Help clients identify optimal Data solutions and services on Azure
  • Support the creation of Modern Data Platforms leveraging cloud offerings such as Azure Databricks, Azure Synapse, Apache Spark, and Power BI (or comparative AWS and GCP experience)
  • Engage with leadership and clients in strategic discussions to assess business requirements, cost-effective services, and use cases
  • Contribute to RFP and RFI answers in terms of architectures, resources, costs, project plan, and roadmap to drive outcomes and ensure maximum client satisfaction
  • Perform assessments to determine the technical feasibility of building a Data & AI solution
  • Help build PoC and define MVPs as needed
  • Contribute to define the high-level solution and act as functional expert on the project
  • Build Data & AI offerings and assets in conjunction with senior Data & AI stakeholders
  • Own and drive offerings in the regions, supporting trainings and delivering demos
  • Support Go-to-Market efforts defining how to align Data & AI technologies to the different industry needs and opportunities, including participation in creation of Point of Views, industry offerings, client roundtables, industry events, internal trainings to evangelized Data & AI solutions, hackathons / datathons, etc.
  • Your Technical & Non-Technical Skills Include :

  • Experience with various Azure PaaS services within Data, AI & IoT space (e.g. Azure Data Lake, Azure Databricks, Synapse, Azure IoT, MLFlow, Cognitive Services, Apache Spark, Delta Lake, Purview etc.)
  • Experience in data platform / pipeline management and DevOps. Data management experience is welcome
  • Demonstrated ability to work in roles with growing responsibility within professional services / management consulting or technology firms positioning solutions against competitors and supporting account teams in a proactive way
  • Passionate about the design and development of Data & AI solutions always aligned to market drivers
  • Ability to develop capabilities, and to continue to support client teams in growing their data landscape
  • Participate in the pursuit of engagements, maintaining the relationship through the delivery phase resulting in repeat client business
  • Some experience in one or more industries is welcome and an eagerness to learn more is preferred
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