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Sr. Data Engineering Delivery Architect (Azure Data Services)

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Rackspace Technology

13d ago

  • Job
    Full-time
    Expert Level
  • Quick Apply

AI generated summary

  • You need 10+ years in data solutions, 5+ Azure platform deployments, skills in Data Factory, Synapse, Databricks, Spark, SQL, Python, and Scala. Experience with real-time data, analytics strategy, and Agile is essential.
  • You will design and implement data platforms on Azure, collaborate with teams on data structures, ensure data security, educate clients on cloud services, and be their main liaison for data projects.

Requirements

  • 10+ years' experience leading engagements from design to implementation of creative data solutions leveraging the latest in Spark based modern data platforms on public cloud
  • At least 5 full lifecycle data platform deployments on Azure using 1st party Services
  • Extensive experience with following technologies: Azure Data Factory, Azure Synapse Analytics, Azure Databricks
  • Strong Spark, SQL, Data Modeling, Data lakehouse concepts
  • Strong programming/scripting experience using python and scala
  • Strong Experience using Data & AI tools such as Azure Storage, Stream Analytics, CosmosDB, SQL DW, Azure Databricks, Azure Machine Learning, Azure Data Catalog, and Azure Data Factory (ADF), Blob, Azure SQL, Polybase, Delta, Engineering Pipeline Design, Azure Technical Architecture and Data Lake Design
  • 8+ years' experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
  • 5+ years' experience with analytics/data management strategy formulation, architectural blueprinting and effort estimation of analytics
  • 5+ years working in cloud or multi-server complex environments. Extensive experience with Azure is required
  • Ability to simplify complex technical concepts into an easy-to-understand non-technical language to facilitate, communicate and interact with executives and business stakeholders
  • Experience with Agile development methods in data-oriented projects
  • Experience with Dashboarding and Reporting Tools used in the industry (Tableau, Power BI, Qlik, etc.)
  • Certifications in architecture, data engineering and development from AZURE (Preferred) / AWS / GCP
  • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket

Responsibilities

  • Lead, define and implement end-to-end modern data platforms on Azure public cloud using 1st party services in support of analytics and AI use cases
  • Design and Drive reusable assets, growing Analytics and DevOps capability
  • Solution & Deliver Modern Data Platforms and Advanced Analytics solutions for clients
  • Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead the identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
  • Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modelling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
  • Be the technical liaison between customers and engineering teams
  • Be a data evangelist by educating a variety of customers on the value of cloud and data services
  • Present recommendations to clients using both written deliverables and face-to-face discussions
  • Develop deep relationships with clients and act as the single point of contact for client executives on data engagements

FAQs

What are the primary responsibilities of the Sr. Data Engineering Delivery Architect?

The primary responsibilities include leading the implementation of modern data platforms on Azure, collaborating with various technical roles, addressing data privacy and security, and educating customers on cloud and data services.

What technical skills are required for this position?

Key technical skills required include experience with Azure Data Factory, Azure Synapse Analytics, and Azure Databricks, as well as strong programming skills in Python and Scala.

How many years of experience are expected for candidates applying to this role?

Candidates should have at least 10 years of experience leading data solution engagements, with a minimum of 5 full lifecycle data platform deployments on Azure.

Is experience with Agile methodologies important for this position?

Yes, experience with Agile development methods in data-oriented projects is required.

Are candidate certifications in Azure preferred for this role?

Yes, certifications in architecture, data engineering, and development from Azure are preferred, although certifications from AWS or GCP are acceptable.

What type of projects will the architect be working on?

The architect will be working on end-to-end modern data platforms and advanced analytics solutions utilizing Azure public cloud services.

Will I have opportunities for mentorship in this role?

Yes, there will be opportunities to mentor and shape the data practice within a large global Azure data team.

What is the anticipated salary range for candidates in this role in Colorado or New York City?

The anticipated salary range for this role in Colorado is $143,700 - $204,000, and in New York City, it is $167,400 - $223,200.

Is there a focus on client interaction for this position?

Yes, the role involves developing deep relationships with clients and acting as the single point of contact for client executives on data engagements.

Are there opportunities for presenting and promoting capabilities at events?

Yes, the architect will be involved in presenting to customers at events and promoting Azure capabilities.

Rackspace Technology

Realize the full value of the cloud.

Technology
Industry
5001-10,000
Employees
1998
Founded Year

Mission & Purpose

Rackspace is a leading managed cloud computing company that provides a range of services to help businesses manage their cloud infrastructure and applications. They offer services such as cloud hosting, managed services, data analytics, and security solutions. Rackspace's ultimate mission is to be the trusted partner for businesses navigating the complex world of cloud computing, offering expertise and support to maximise the benefits of cloud technology. Their purpose is to empower businesses to succeed in the digital age by providing reliable and scalable cloud solutions that enhance agility, performance, and security. Rackspace aims to simplify the cloud journey for their clients, enabling them to focus on their core business while leveraging the power of the cloud to drive innovation and achieve their strategic goals.

Culture & Values

  • Excellence

    We are an accountable, disciplined, high-performing company with proven results

  • Customer-driven

    We are proactive, collaborative and committed to success for our customers.

  • Expertise

    Rackers are passionate learners who are embedded in our customers’ businesses to provide unbiased solutions.

  • Agility

    We adopt new technologies and evolve services to meet customers where they are in their journey.

  • Compassion

    We’re one team doing the right thing for our customers, communities and each other.

Benefits

  • The foundation

    Health coverage and retirement/pension plans

  • Take the time

    Enjoy generous time off and paid corporate holidays

  • Be well

    Stay active with gym memberships, health & wellness challenges, and quarterly team outings

  • Family planning

    Support your newest addition with paid maternity, paternity, and adoption leave

  • Flexible working

    For some roles, working remotely or flexibly is an option