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How much do entry level data architect jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for entry level data architect in Baltimore, MD is $69.53, according to ZipRecruiter salary data. Most workers in this role earn between $60.91 and $78.37 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in an entry level data architect position?

To thrive as an Entry Level Data Architect, you need foundational knowledge in database design, data modeling, and SQL, often supported by a degree in computer science, information systems, or a related field. Familiarity with database platforms like SQL Server, Oracle, or MySQL, and experience with data integration tools or introductory certifications (such as Microsoft Certified: Azure Data Fundamentals) are typically valuable. Strong analytical thinking, effective communication, and a willingness to collaborate make candidates stand out in this role. These skills and qualities are crucial for translating business requirements into sound data structures and working efficiently within project teams.

What is an entry level data architect?

An Entry Level Data Architect is responsible for assisting in the design, development, and management of an organization's data infrastructure. They work with senior data architects and engineers to create efficient database structures, ensure data quality, and support data integration processes. This role involves using database technologies, data modeling techniques, and programming languages to optimize data storage and retrieval. Entry-level data architects often collaborate with IT teams to maintain data security and governance. It is a foundational role that provides experience in database design, big data technologies, and cloud-based data solutions.

What are the typical daily responsibilities of an entry level data architect?

As an Entry Level Data Architect, you can expect to spend your days assisting in the design and implementation of database solutions, creating and maintaining data models, and supporting data integration efforts. You'll often work closely with senior architects, software engineers, and business analysts to understand project requirements and ensure data structures align with organizational needs. Daily tasks may include writing SQL queries, documenting data flows, and helping troubleshoot data quality or integrity issues. This collaborative and technical environment provides valuable hands-on experience and forms a strong foundation for advancing to more senior data architecture roles.

What are the most commonly searched types of Data Architect jobs in Baltimore, MD?

The most popular types of Data Architect jobs in Baltimore, MD are:

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Entry Level Data Architect jobs near you
Infographic showing various Entry Level Data Architect job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $144,630 per year, or $69.5 per hour.

Data Scientist - Multiple Levels (TS/SCI with Poly Required)

Red Alpha Careers

Annapolis Junction, MD

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

A little about us:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.

Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.

Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:
In this role, you will provide support and related services to the implementation of enterprise data representations in various mission domains. You will be performing end-to-end systems engineering for data flows from the perspective of data format modeling, data mapping, and support to implementers and mission customers. This role requires strong software and systems engineering expertise from cradle to grave with limited, high-level direction, in the areas of:
  • Enabling and growing existing automation efforts, adding additional data streams, and driving forward data transformation efforts.
  • Focusing on the sponsor's business analytics, metrics collection, and analysis efforts. The sponsor's management team requires a data scientist to characterize the sponsor's workforce, workforce productivity and output, and the value of collection to the workforce.
  • Possessing an instinctive aptitude to leverage information and knowledge sharing networks and navigate conflict in a way that fosters constructive outcomes.
What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.

All of our data scientists need the following skills:

  • Proficiency with a scripting language such as R or Python
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field.
  • For entry-level data scientists, 0-3 years of experience on Data Science projects.
  • For mid-level data scientists, 3-6 years of experience on Data Science projects.
  • For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will also need:

  • A broad range of knowledge including information technology, requirements, technical architecture analysis (e.g., understanding data flow diagrams, system architecture diagrams, etc.), and an understanding of functional and system analysis.
  • Knowledge of multiple development methodologies, Agile (Scrum & Kanban), etc.
  • An understanding of SIGINT

These are important skills to have, but not necessarily mandatory:

  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience with Java, C, or other compiled languages
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding)
  • Experience with SQL/NoSQL, Spark, Hadoop
  • Familiarity with Javascript and Scripting
  • Familiarity with Docker, GitLab, and React
The total package:
Our total compensation package was strategically designed with our members in mindwith the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as wecontinue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselvesandtheir dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary andbenefits such as health, life/disability, 401k, paid time off,professional development, and generous bonus programs. Please visit ourbenefitstab for additional information.
Salary Range:
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience,actual level of expertise, and the responsibilities of the role itself.
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are:
    • Entry-level: $95,000 - $135,000
    • Mid-level: $110,000 - $155,000
    • Senior-level: $135,000 - $235,000
Some of our additional perks and benefits include:
  • Retire soonerthan planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
  • Have a career AND a life:Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best:As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as webring digital transformation to the fight!
Employment Type: Full-Time

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