Solution Architect
Estée Lauder Companies
Bucharest, Bucuresti, Romania
5 zile în urmă

The Director of Data and Analytic Solution Architecture will combine his / her technical and business domain expertise to translate complex business requirements into elegant, scalable, and optimized Data and Analytic solutions.

The ideal candidate will have a deep expertise in applying cloud native technologies to solve complex data and analytic problems, a familiarity with enterprise reporting tools, and significant experience in working with a variety of data sets and structures within a large global enterprise.

They will ensure the technical feasibility, alignment to business requirements, and support the full lifecycle of solutions across the Data & Analytics portfolio.

Additionally, they are strong collaborators partnering with a variety of key stakeholders across the organization including Business Intelligence & Analytics, IT, InfoSec.

They are champions of enterprise standards working closely with our Enterprise Architecture and Enterprise Data Management teams to drive adoption and rationalization of enterprise platforms, tools, and data.

Functional Capabilities :

  • Broad and deep understanding of data and analytics capabilities in a global enterprise across all process areas (Supply Chain, Finance, Marketing, R&D etc.
  • Familiarity and expertise in working with data across a variety of sources including SAP, POS, external 3rd party, social media, IOT, etc.

  • Ability to understand and synthesize complex concepts and problems into simple, reusable, scalable, and elegant solutions.
  • Defines and enforces architecture patterns and standards on optimized, available, reliable, consistent, accessible platforms and tools.

  • Flexible and open mindset : Sees challenges and problems as opportunities to grow. Understands there are multiple ways to solve a problem, respects and listens to multiple opinions, and continuously evaluates and challenges assumptions.
  • Strategic Thinking : Aligns strategy of the solution with overall company and department goals.
  • Establishes clear objectives, assigns responsibilities, and takes accountability.
  • Strong communications skills to collaborate with the virtual global team
  • Results-driven sets aggressive goals and delivers through the team
  • Pragmatic approach to deliver incremental value to the organization
  • Comfortable operating within a global, complex, highly matrixed organization
  • Well-developed team management skills
  • Proven ability to attract, retain, and develop talent
  • Strong problem solving and analytical skills
  • Ability to establish credibility and be decisive but able to recognize and support the organization’s preferences and priorities.
  • Technical Competencies :

  • Detailed conceptual and technical understanding of building data and analytic capabilities in a cloud native environment.
  • Experience on Azure preferred, with focus on building serverless architectures.

  • Expertise in data platforms (Data Lake, Data Warehousing, Graph DB, NoSQL, etc.) and integration ingestion patterns (ETL, ELT, API, streaming, etc.)
  • Expert in visualization tools such as Tableau, PowerBI, SAP Business Objects
  • Expert understanding of Data as a Service concepts including APIs / web services and microservices
  • Experience in defining semantic and / or virtualization layers, metadata to support technical and business teams for development and data consumption
  • Strong understanding of Data Science and Machine Learning (ML) concepts and how to operationalize models in a data platform (experience with Azure ML components preferred).
  • Strong understanding of data modeling concepts; hands-on data modeling expertise desired (preferably in ERwin)
  • Qualifications

  • Collaborate with product teams, data analysts and data scientists to design and build data-driven solutions that meet ELC’s quality standards
  • Accountable for collaborating with global team on business requirements, identifying solution gaps and available capabilities, and defining solutions to meet the business need
  • Translates business domain understanding and context to technical capabilities for technical architects and development teams
  • Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
  • Build and maintain dimensional data warehouses in support of business intelligence tools
  • Define full life cycle and roadmap of data product : from experimentation, to implementation, deployment and maintenance
  • Partner with System of Record owners, integration teams, development teams, data modeling teams to implement data products
  • Partner with Enterprise Data Management and Data Governance functions to ensure scope, validity, accuracy and completeness of core Enterprise Data Sets.
  • Collaborate with Enterprise Architecture to shape EA guardrails, standards and patterns
  • Ensure alignment with Enterprise Architecture principles, guardrails, standards, patterns and frameworks
  • Stay abreast of current trends / technologies in consumer space and be aware of technology initiatives from other best in class retailers and technology companies globally
  • Manage Stakeholder’s concerns regarding technical issues for their areas
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