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Senior Data Architect - Big Data (AWS)

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.


If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.


Overview


As a Big Data Architect, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development. 


If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?



What you’ll be doing:
  • Lead, define and implement end-to-end modern data platforms in support of analytics and AI use cases
  • Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead 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 modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
  • Be the technical liaison between customers and engineering teams
  • Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of AWS and big data technologies and help build offerings
  • Be an AWS evangelist by educating a variety of customers on the value of AWS and AWS’s Data services
  • Traveling up to 50% of the time 


Qualifications & Experience:
  • 5+ years experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (Ideally AWS) and hybrid architectures to enable use cases in analytics and AI
  • 5+ 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
  • 3+ years experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
  • 3+ years working in the cloud or multi-server complex environments.  Experience with AWS a requirement.
  • Ability to simplify complex technical concepts into an easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders
  • Experience with Agile development methods in data-oriented projects


Strong candidates will also have some of the following capabilities:
  • Strong SQL, Database, Data Modeling, Data Warehousing and Development skills
  • Strong programming / scripting experience using various languages such as Java, .NET, Python, Scala, Javascript, etc.
  • Experience in Cloud Big Data & Analytics Services on the cloud (AWS preferred ie. S3, Redshift, Athena, EMR, Glue, Quicksigh,, etc.)
  • Experience with Dashboarding and Reporting Tools used in the Industry (Tableau, Qlik, etc.)
  • Experience with industry ETL tools (Informatica, Talend, SSIS, etc.)
  • Have strong people management skills: leading teams, training, onboarding, offboarding, etc.
  • Certifications in architecture, data engineering and development from AWS (Preferred)
  • Subject matter data expertise in Financial Services (Banking, Insurance), Consumer Products (Retail), Energy & Resources, Life Sciences (Healthcare) and Government (Transport, Higher Ed, Social Services) industries
  • Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments
  • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, powershell, Bitbucket, etc.


Educational Qualifications:
  • Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or a related field is desired


The following information is required by the Colorado Equal Pay Transparency Act and the New York City Pay Transparency Act. This applies only to individuals working in the state of Colorado or in New York City. 


The anticipated starting pay range of Colorado and New York City applicants for this role is $143,700 - 204,000 and $ 167,400 - 223,200. Based on eligibility, compensation for the role may include variable compensation in the form of bonus, commissions, or other discretionary payments.


These discretionary payments are based on company and/or individual performance, and may change at any time.


Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. 


#LI-VM1

#LI-Remote

#Rackspace

#LI-Rackspace


About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

 

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

 


Average salary estimate

$173850 / YEARLY (est.)
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$143700K
$204000K

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What You Should Know About Senior Data Architect - Big Data (AWS), Rackspace

At Rackspace Technology, we are on the lookout for a Senior Data Architect - Big Data (AWS) who is as passionate about data as we are! In this role, you will be at the forefront of delivering groundbreaking data solutions that transform how our clients operate. Picture this: You will lead the design and implementation of end-to-end modern data platforms, where your insights will drive analytics and AI use cases. Collaborating with a dynamic team of enterprise architects, ETL developers, and data scientists, you'll define necessary data structures and pipelines that ensure seamless data ingestion and processing. Whether it's enhancing data privacy or implementing API integrations, your expertise will make a real impact. As you bring your technical prowess to the forefront, you'll also serve as a liaison between our clients and engineering teams while working closely with our sales team to promote AWS and big data technologies. And yes, the thrill of working with cutting-edge technology doesn’t end there – you’ll have opportunities to educate clients on the immense value that AWS brings to their data strategy! With a job that requires travel up to 50% of the time, each day promises to be different and exciting. If your experience aligns with our needs and you crave a dynamic and collaborative environment that champions your professional growth, then this opportunity might just be the perfect fit for you. Are you ready to embark on this journey with Rackspace and rethink the possible?

Frequently Asked Questions (FAQs) for Senior Data Architect - Big Data (AWS) Role at Rackspace
What are the primary responsibilities of the Senior Data Architect - Big Data (AWS) at Rackspace Technology?

The Senior Data Architect - Big Data (AWS) at Rackspace Technology is responsible for leading the design and implementation of modern data platforms. This role encompasses data ingestion, pipeline design, and collaborating with various teams to establish essential data structures. Additionally, they must ensure data privacy and security while also serving as a technical liaison between clients and engineering, ultimately facilitating the adoption of AWS data services.

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What qualifications are required for the Senior Data Architect - Big Data (AWS) position at Rackspace?

Candidates for the Senior Data Architect - Big Data (AWS) position at Rackspace should have over 5 years of experience in leading data solution engagements, particularly leveraging AWS. Proficiency in data modeling, SQL, and cloud services is essential, along with strong problem-solving skills and the ability to communicate complex concepts to non-technical audiences. A Bachelor's Degree in Computer Science or related fields is desired.

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How does Rackspace Technology support professional growth for the Senior Data Architect - Big Data (AWS)?

At Rackspace Technology, professional growth is a cornerstone of our culture. We provide a supportive environment where our Senior Data Architect - Big Data (AWS) can engage in continuous learning through training, mentorship programs, and opportunities to work on cutting-edge projects. Our commitment to your growth ensures that you stay at the forefront of the evolving technology landscape.

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In what ways will the Senior Data Architect - Big Data (AWS) contribute to client success at Rackspace?

The Senior Data Architect - Big Data (AWS) will play a pivotal role in ensuring client success by delivering tailored data solutions that enhance operational efficiency and enable innovative analytics. By leveraging AWS capabilities and guiding clients through technology adoption, this role directly impacts how clients utilize data in their decision-making processes, fostering long-term relationships and trust.

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What tools and technologies will a Senior Data Architect - Big Data (AWS) use at Rackspace?

The position of Senior Data Architect - Big Data (AWS) at Rackspace involves working with a range of advanced tools and technologies, including AWS services like S3, Redshift, and EMR. Additionally, knowledge of programming languages such as Java, Python, and various ETL tools will be crucial. Experience with reporting tools and big data frameworks is also beneficial in this multifaceted role.

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Common Interview Questions for Senior Data Architect - Big Data (AWS)
Can you explain your experience with AWS and how it relates to the Senior Data Architect role?

When answering this question, highlight specific AWS services you've worked with, such as S3 or Redshift, and describe how you utilized them to build data solutions. Focus on the impact these solutions had on previous projects and your role in devising strategies that leverage AWS effectively.

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Describe your process for implementing a modern data platform.

Share a detailed method of how you approach data platform implementation, including initial assessments, collaboration with team members, and the progress from design to deployment. Emphasize any metrics or successes from past projects to illustrate your proficiency.

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How do you ensure data privacy and security within data solutions?

Discuss your familiarity with data privacy regulations and your experience in implementing security measures within data solutions, such as encryption techniques or access controls. Providing examples of past projects where you successfully managed sensitive data will strengthen your answer.

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What challenges have you faced while designing data solutions, and how did you overcome them?

Identify specific challenges you've encountered, such as data integration from multiple sources or performance issues. Explain the problem-solving techniques you applied and how those experiences helped you grow as a Senior Data Architect.

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How do you stay current with emerging trends in big data and cloud technologies?

Show your commitment to continuous learning by mentioning resources you follow, such as industry blogs, webinars, or courses. Share any relevant certifications you hold and how you apply newfound knowledge to enhance data strategies.

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Can you provide an example of a successful project where you collaborated with cross-functional teams?

Illustrate your collaboration skills by recounting a specific project that involved working with diverse teams. Focus on how you facilitated communication and overcame challenges to achieve a collective goal.

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What programming languages are you proficient in and how do they enhance your role?

List the programming languages you're skilled in, such as Python or Java, and discuss how they play a role in your work as a Senior Data Architect. Highlight specific instances where your programming skills directly contributed to successful project delivery.

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How do you approach data modeling for various data types?

Explain your approach to data modeling, emphasizing how you adapt your techniques for structured, semi-structured, and unstructured data. Provide examples that showcase your ability to tailor models to different use cases effectively.

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What tools do you prefer for ETL processes, and why?

Mention the ETL tools you're experienced with, such as Informatica or Talend, and discuss their advantages in facilitating data migration and transformation. Providing context on how these tools led to efficient workflows will be beneficial.

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Why do you want to work at Rackspace Technology?

This is your opportunity to express your admiration for Rackspace's commitment to innovation and client success. Discuss how the company's culture aligns with your values and your excitement about contributing to a leading multicloud solutions provider.

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Founded in 1998, Rackspace provides multi-cloud computing solutions and services. Offering advising to customers based on business challenges, designing solutions, building, and managing solutions. The company is headquartered in San Antonio, Texa...

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Full-time, remote
DATE POSTED
April 10, 2025

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