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Data Architect Job Opening In Washington – Now Hiring GDIT


Job description

Job Description:

As a Data Engineer, you will be responsible for the design, structure, and maintenance of data.

You will ensure the accuracy and accessibility of data relevant to the project.

The management and organization of data requires proficiency in database design (Concept Maps, ER Diagrams, etc).

Responsible for assisting in the establishment of an IT Architecture practice, and the adoption of an architecture and standards methodology.

You will be responsible for managing activities that take place during solution ideation, solution design, and solution implementation. Review business context for solutions to client challenges as well as defining the vision and requirements for the solution, recommending potential options, selecting the most optimal option, and the development of a roadmap for the selected solution. Communicates the architecture to the stakeholders and collaborates and coordinates with existing domain architects in the formalization and adoption of IT standards and procedures. 

A successful data architect must possess superior analytical skills and be detail-oriented.

Data architects require the ability to communicate effectively as part of a larger team within the information technology department.

Additionally, a data architect will need to explain complex technical concepts to non-technical staff.

Qualifications:

  • TS-SCI clearance 
  • Bachelor’s degree or equivalent practical experience. 
  • Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data 
  • Creating and implementing data management processes and procedures 
  • Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S).  
  • Familiar with Amazon Web Managed Services (AWS). 
  • Ensuring the integrity of data backup and storage systems 
  • Monitoring security software and tools 
  • Responding to security or usability concerns quickly 
  • Comprehensive grasp of data warehouse design best practices for data modeling and ETL system design  
  • Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. 
  • Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. 
  • Experience in performance tuning of applications, including data model and schema optimization 
  • Familiar with Linux/Unix server environments. 
  • Experience with Agile development methodology. 
  • Analyze and document solution complexity and interdependencies. 
  • Working knowledge with Collaboration tools, such as, Jira and Confluence. 

Preferred Qualifications:

  • Master’s degree or equivalent experience in a related field. 
  • Familiarity and experience with the Intelligence Community (IC), and the intel cycle. 
  • Familiarity and experience with the Department of Homeland Security (DHS). 
  • Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred). 
  • Developing application programming interfaces (APIs) to retrieve data 
  • Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security. 
  • Working knowledge with public keys and digital certificates.  
  • Experience with DevOps environments. 

Responsibilities:

  • Bullets of responsibilities of the role, examples: 
  • Define and communicate a clear product vision for our client’s software products, aligning with user needs and business objectives. 
  • Create and manage product roadmaps that reflect both innovation and growth strategies. 
  • Partner with a government product owner and a product team of 7-8 FTEs. 
  • Manage production data within multiple datasets ensuring fault tolerance and redundancy. 
  • Provide Tier 3 technical support for deployed applications and dataflows. 
  • Collaborate with the rest of data engineering & architecture team to design and launch new features and services. 

Skills:

  • Stakeholder Management  
  • Effective Team Communication  
  • Product Management 
  • Data Management 
  • Security 
  • Data Architecture 
  • Amazon Web Services 
  • Agile 
  • Intelligence Community 
  • Client Engagement   


GDIT IS YOUR PLACE:

  • 401K with company match
  • Comprehensive health and wellness packages
  • Internal mobility team dedicated to helping you own your career
  • Professional growth opportunities including paid education and certifications
  • Cutting-edge technology you can learn from
  • Relax and recharge with paid vacation and holidays

The likely salary range for this position is $127,500 - $172,500.

This is not, however, a guarantee of compensation or salary.

Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Hybrid

Work Location:

USA DC Washington

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Architect Potential: Insight & Career Growth Guide


Real-time Data Architect Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Architect in Washington, United States, highlighting market share and opportunities for professionals in Data Architect roles.

67235 Jobs in United States
67235
1067 Jobs in Washington
1067
Download Data Architect Jobs Trends in Washington and United States

Are You Looking for Data Architect Job?

Great news! is currently hiring and seeking a Data Architect to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at GDIT adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Data Architect Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Washington. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Architect?

Key qualifications for Data Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Architect Job Success

GDIT interview tips for Data Architect

Here are some tips to help you prepare for and ace your Data Architect job interview:

Before the Interview:

Research: Learn about the GDIT's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Architect interview at GDIT, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the GDIT's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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