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