Long Island City, New York, US
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Director, Azure Platform Architect, Data & Analytics, IT

Country : USA USA

State : New York

County : Queens County

Town : New York

Category : IT - Web

Contract type : Permanent

Availability : Full time

Job description

Position Summary
The Director, Azure Platform Architect is a key role to drive the technology blueprints and roadmaps of our Azure-based Data and Analytics platforms and solutions. The resource combines expert conceptual understanding of data engineering and data management with deep technical understanding of Cloud Provider services, with a strong focus on the Azure ecosystem. The Platform architect stays abreast with the latest development in the fast-evolving cloud space, has the ability to drive Proof of Concepts with internal teams and vendors, and clearly articulates the fit of potential solutions for capabilities needed by ELC.

Additionally, as a strong collaborator with Enterprise Architecture, Security and Data Operations, the resource ensures adherence to ELC's policies, standards and best practices, while considering implications for the operationalization of new capabilities and platforms.

Key Roles & Responsibilities

  • Accountable for the end-to-end scalable technical architecture and solutions for Data and Analytics platforms and services deployed on Azure
  • Accountable for the technology roadmap for data and analytics platforms in alignment with Enterprise Architecture
  • Continuously evaluates platform capabilities required by Data Product consumers and Data Engineers; evaluates services and solutions by cloud providers, conducts Proof of Concepts and identifies best fit solutions in adherence with data governance, security and operations.
  • Designs architecture patterns and develops reusable assets and frameworks to standardize architecture, automate processes, thereby reducing overall complexity and Total Cost of Ownership
  • Collaborates with Network and Data Security to design appropriate controls to keep ELC's data safe and in alignment with ECR data policies
  • Conducts regular cadence with Cloud Operations team to identify any opportunities for cost reduction on provisioned Azure services
  • Monitors and maintains system health, security setup and connectivity of all Azure services in Data and Analytics Azure platforms
  • Defines and documents best practices and user guides for data engineers, consumers and support team
  • Mentors data engineering teams by helping them with technical guidance on their day to day work
  • Participate in technical interviews and workshops to support growth of the Data and Analytics program
Job: Information Technology

Primary Location: Americas-US-NY-Long Island City

Job Type: Standard

Schedule: Full-time

Shift: 1st (Day) Shift

Job Number: 229541

We are an equal opportunity employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply. It is Company's policy not to discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. The Company will endeavor to provide a reasonable accommodation consistent with the law to otherwise qualified employees and prospective employees with a disability and to employees and prospective employees with needs related to their religious observance or practices. Should you wish to apply for this position or any other position with the Company and you believe you require assistance to complete an application or participate in an interview, please contact [email protected]



Functional Capabilities
  • Enterprise Data Platform mindset: building standardized, optimized, available, reliable, consistent, accessible data platform to support the development and operations of data products

  • Strategic Thinking: Aligns strategy of group with overall company goals and establishes objectives and assigns responsibilities.

  • Strong problem solving and analytical skills

  • Strong communications skills: collaborates with the virtual global data engineering teams to convey concepts and designs

  • Results-driven: sets aggressive goals and delivers through the team

  • Pragmatic approach to deliver incremental value to the organization

  • Comfortable within a global, complex, highly matrixed organization

  • Well-developed team management skills: ability to mentor team members

  • Proven ability to attract, retain, and develop talent

  • Ability to establish credibility and be decisive - but able to recognize and support the organization's preferences and priorities.

Technical Competencies
  • Strong expertise and proven hands-on development experience with the Azure ecosystem for Data and Analytics organizations

  • Expert understanding of Data Lake, Data Warehousing, ETL and ELT processes, and Data Quality frameworks

  • Expert in conceptual and technical understanding of Big Data platforms, Data Lakes, Data Warehousing, their capabilities and applicable use cases and implications for developing data products on these types of platforms

  • Expert understanding of Data as a Service concepts including APIs/web services and microservices

  • Expertise in coding languages: python (must-have), pyspark (highly desired)

  • Strong understanding of data consumption needs: defining semantic layers, metadata to support technical and business teams

  • Strong understanding of Data Science and Machine Learning (ML) concepts and how to operationalize models in a data platform.

  • Comfortable with agile development methodology (Scrum, Kanban) and supporting tools (e.g. Jira)

Minimum Education Level: BSc In Business, Information Systems, Or Equivalent Discipline
Minimum Years of Experience: 7-10
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