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DataLake Administrator / Architect

About DMI

DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efficient, and cost-effective solutions that drive measurable results. Learn more at www.dminc.com

About the Opportunity

DMI, LLC is seeking a DataLake Administrator/Architect to join us. 

 

Duties and Responsibilities:

  • Manage and maintain Data Lake clusters infrastructure on premise and in cloud: installation, configuration, performance tuning and monitoring of Hadoop clusters
  • Should demonstrate strong concepts in Unix/Linux, Windows OS, cloud platforms (AWS, GCP), Kubernetes, Open Shift & Docker
  • Must have good exposure to Cloudera manager, Cloudera Navigator or similar cluster management tool
  • Collaborate and assist developers in successful implementation of their code, monitor and fine tune their process for optimum resource utilization on cluster, ability to automate run time process  
  • Must have good knowledge of HDFS, Ranger/Sentry, Hive, Impala, Spark, HBase, Kudu, Kafka, Kafka Connect,  Schema Registry, Ni-Fi, Sqoop and other Hadoop related services
  • Exposure to Data Science collaborative tools such as data science workbench, CML, anaconda, etc.  
  • Strong Networking concepts: topology, proxy, F5, firewall
  • Strong security concepts: Active directory ,Kerberos, LDAP, SAML, SSL, data encryption @rest
  • Programming language concepts: Java, Perl, python, PySpark and Unix shell scripting
  • Possess experience in cluster management, perform cluster upgrade, migration, and testing
  • Perform periodic updates to cluster and keeping the stack current
  • Ability to expand clusters by adding new nodes and rebalance cluster storage systems
  • Manage application databases, application integration, users, roles, permissions within cluster
  • Collaborate with OpenShift, Unix, network, database and security teams on cluster related matters
  • Must monitor cluster for maximum uptime, ability to research on cluster issues via logs and collaborate with support in a proactive way

Qualifications

Education and Years of Experience:  

  • Minimum10 years’ experience in advanced technologies including a minimum of 5+ years as data lake admin/architect
  • BS degree, preferably in Computer science or equivalent
  • Good communication skills with right attitude to blend in with team
  • Minimum 5 years work experience in Hadoop ecosystems (Horton HDP or Cloudera’s CDP) 

Required and Desired Skills/Certifications: 

  • Solid experience in Cloudera data lake environments both on prem and cloud
  • Solid experience in administration and set up including security topics related to a data lake
  • Strong experience architecting and designing solutions for new business needs
  • Thorough understanding and hands-on experience with implementing robust logging and tracing implementation for end to end systems traceability
  • Familiarity with Cloudera’s BDR tool to perform and monitor backups of critical data and able to restore data when in need
  • Willing and ready to get hands on code development with dev team for developing and troubleshooting, doing quick proof of concepts for exploring new solutions, products etc.
  • Experienced in working with technical teams to discuss, analyze, understand and negotiate business requirements, being able to explain to architects about the technical considerations and associated implications on the user journey/experience/requirements.
  • Experience in tuning and optimizing Hadoop environment in keeping clusters healthy and available for end users and applications with maximum cluster uptime as defined in SLA
  • Deep knowledge and related experience with Hadoop and its ecosystem components i.e. HDFS, Yarn, Hive, MapReduce, Pig, Sqoop, Oozie, Kafka, Spark, Presto and other Hadoop components

Min Citizenship Status Required: No Restrictions

 

Physical Requirements: No Physical requirement needed for this position.

Location: Remote, US

Working at DMI

DMI is a diverse, prosperous, and rewarding place to work. Being part of the DMI family means we care about your wellbeing. As such, we offer a variety of perks and benefits that help meet various interests and needs, while still having the opportunity to work directly with a number of our award-winning, Fortune 1000 clients. The following categories make up your DMI wellbeing:

  • Convenience/Concierge - Virtual visits through health insurance, pet insurance, commuter benefits, discount tickets for movies, travel, and many other items to provide convenience.
  • Development – Annual performance management, continuing education, and tuition assistance, internal job opportunities along with career enrichment and advancement to help each employee with their professional and personal development.
  • Financial – Generous 401k matches both pre-tax and post-tax (ROTH) contributions along with financial wellness education, EAP, Life Insurance and Disability help provide financial stability for each DMI employee.
  • Recognition – Great achievements do not go unnoticed by DMI through Annual Awards ceremony, service anniversaries, peer-to-peer acknowledgment, employee referral bonuses.
  • Wellness – Healthcare benefits, Wellness programs, Flu Shots, Biometric screenings, and several other wellness options.

 

Employees are valued for their talents and contributions. We all take pride in helping our customers achieve their goals, which in turn contributes to the overall success of the company.

 

 

***************** No Agencies Please *****************

 

Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.

Average salary estimate

$130000 / YEARLY (est.)
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max
$120000K
$140000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About DataLake Administrator / Architect, DMI

Join DMI as a DataLake Administrator/Architect and be at the forefront of technology solutions! In this remote role, you will manage and maintain Data Lake clusters, utilizing your expertise in Unix/Linux and various cloud platforms such as AWS and GCP. Your role will involve the installation, configuration, performance tuning, and monitoring of Hadoop clusters, making sure everything runs smoothly for our clients. You’ll collaborate with developers to optimize processes and automate runtime, ensuring resource utilization is at its peak. With a profound understanding of HDFS, Hive, Spark, and more, you will architect solutions that not only fulfill current business needs but also focus on future innovations. Your strong networking and security knowledge will ensure that our data lakes remain robust and secure. At DMI, we prioritize your professional growth, offering opportunities for further education and career advancement. We’re looking for someone with a minimum of 10 years in advanced technologies and at least 5 years as a Data Lake admin or architect. If you have a knack for problem-solving and want to work within a dynamic team while making a difference, DMI is the perfect place for you. Come be a part of our journey to deliver unparalleled managed IT services and make an impact in the tech world!

Frequently Asked Questions (FAQs) for DataLake Administrator / Architect Role at DMI
What are the responsibilities of a DataLake Administrator/Architect at DMI?

As a DataLake Administrator/Architect at DMI, your primary responsibilities will include managing and maintaining the Data Lake clusters, both on-premise and in the cloud. You’d be in charge of the installation, configuration, performance tuning, and monitoring of Hadoop clusters. Collaborating with developers, optimizing processes for resource use, and ensuring the security of the data lakes are also core aspects of the job. With your technical acumen, you'll be responsible for expanding clusters and ensuring maximum uptime.

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What qualifications do I need to become a DataLake Administrator/Architect at DMI?

To qualify for the DataLake Administrator/Architect position at DMI, you should have a minimum of 10 years of experience in advanced technologies, with at least 5 years working as a Data Lake administrator or architect. A BS degree in Computer Science or equivalent is preferred. Proficiency in Hadoop ecosystems and cloud platforms is essential to succeed in this role.

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What technical skills are required for the DataLake Administrator/Architect role at DMI?

The DataLake Administrator/Architect role at DMI requires a solid understanding of Unix/Linux systems, cloud platforms such as AWS and GCP, and containerization technologies like Kubernetes and Docker. You should also be proficient in using Cloudera management tools, Hadoop ecosystems, and have familiarity with various programming languages like Java, Python, and shell scripting to execute and troubleshoot code effectively.

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What kind of experience is valuable for a DataLake Administrator/Architect at DMI?

Valuable experience for a DataLake Administrator/Architect at DMI includes a deep understanding of Hadoop and its component services such as HDFS, Spark, Kafka, and more. Hands-on experience with cluster management, upgrades, and migration, combined with a strong background in network and security protocols, will give you a distinct advantage in this role. Continuous learning and staying updated with the latest technologies are also crucial.

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How does DMI support professional development for DataLake Administrators/Architects?

DMI is committed to the growth of its employees. As a DataLake Administrator/Architect, you'll have access to annual performance management, ongoing training opportunities, and tuition assistance. DMI fosters a culture of learning where you can expand your knowledge and advance your career while working with industry-leading clients in a supportive environment.

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Common Interview Questions for DataLake Administrator / Architect
Can you explain your experience with Hadoop and its ecosystem?

Absolutely! Be ready to talk about your specific roles in managing or architecting Hadoop clusters. Discuss the tools you've used, such as HDFS, Spark, and Kafka, and how you've applied them in your projects. Mention any challenges you've faced and how you optimized the environment for performance.

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How do you ensure data security in a Data Lake environment?

Discuss your understanding of security practices like Active Directory, Kerberos, and SSL. Provide examples of how you implement these security measures within a Data Lake, from user permissions to data encryption both at rest and in transit.

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How do you handle cluster performance issues?

Explain your troubleshooting strategy. Describe how you monitor performance metrics, analyze logs, and collaborate with developers to identify bottlenecks. Share specific instances where you've improved performance through tuning or optimizations.

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Describe your approach to collaborating with development teams.

Talk about the importance of communication and teamwork. Provide examples of how you've worked with developers to implement and optimize code on clusters, ensuring they have the resources needed for successful deployments.

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What tools do you prefer for managing Data Lake clusters?

Mention the tools and technologies you have experience with, such as Cloudera Manager or similar, and discuss why you find them effective in managing, monitoring, and optimizing cluster performance.

Join Rise to see the full answer
How do you approach disaster recovery and backups in a Data Lake?

Discuss your experience with Cloudera's BDR tool and any strategies you've used to ensure data is backed up and can be restored in case of failure. Mention planning and regular testing of backup procedures to ensure reliability.

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Can you provide an example of a complex project you've led involving a Data Lake?

Share a detailed story that highlights your leadership in a project. Focus on the challenges faced, your strategic decisions, and the positive outcomes that were achieved, especially in terms of efficiency and innovation.

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What programming languages are you most comfortable with, and how do you use them?

Talk about the programming languages you have experience with, such as Java or Python, and provide examples of how you've utilized these languages for scripting, automation, or enhancing performance within the Data Lake ecosystem.

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How do you stay updated with new technologies in your field?

Discuss your commitment to continuous learning. Mention industry conferences, online courses, or professional groups you engage with to keep current on trends and technologies relevant to Data Lakes and big data.

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What strategies do you use for optimizing resource utilization in Data Lakes?

Share your strategies, such as monitoring tools and predictive analytics, to ensure that resources are used efficiently. Discuss how this helps in reducing operational costs and maintaining the performance of the Data Lake.

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Full-time, remote
DATE POSTED
March 28, 2025

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