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Data Architect Job Opening In Seattle – Now Hiring Slalom


Job description

Role - Data Architect

Who You’ll Work With

At Slalom we co-create custom software, data and cloud products with clients who are ready to accelerate their digital transformation.

We're passionate about technology, compelled by its potential as we help create the digital products, experiences, and technology-driven organizations that drive true change.

We’re thrilled by the opportunity to build the future we want to see, with anyone willing to join us.

Slalom Data Engineering discipline is focused on injecting intelligence into products, engineering systems that support learning and insight and creating innovative data products.

Within Data Engineering we help customers build world-class products through effective use of:

  • Data Engineering consisting of streaming / real-time data solutions, modern data platforms and data systems within products (i.e., database systems, graph databases, key-value stores, document databases and transactional systems)
  • Machine Learning and Artificial Intelligence
  • What You’ll Do

    Slalom Data Engineering discipline is comprised of passionate, flexible technologists who love to practice and hone their craft.

    As tools evolve and technologies emerge, we work to stay in front of innovations in data platform development and delivery.

    As a Data Architect for Slalom, you will work in small, collaborative teams with minimal oversight and direction to design and deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.

    In addition to building the next generation of data platforms, you will be working with some of the most forward-thinking organizations in data and analytics.

    You will typically be responsible for understanding the client’s current environment and technical challenges as well as their plans for evolving or creating their future state architecture.

    Using that knowledge, your personal experiences, architecture expertise, and your ability to facilitate working design sessions with Slalom and client technical teams, you will lead the analysis, architecture, design, and development of your client’s next generation Data Platform Solution.

    You will leverage your communication skills to effectively describe the pros and cons of your solution design and drive the combined Slalom and client team to consensus.

    You are experienced at breaking down complex development tasks and will be responsible for the timely quality completion of development items, ensuring that they support the Technical Solution you designed.

    As time allows, you will participate in pre-sales activities including helping define an approach to solving a prospect’s technical challenges and helping the business development team estimate and plan projects to address those challenges.

    *You will work in a hybrid environment, with expectation to be in-person with Slalom teams and clients as needed.

    *You also must be within commutable distance to Slalom's Seattle office location.

    What You’ll Bring

    As a Data Architect in the Data Engineering discipline, you will bring a broad experience in architecture design, a deep expertise in one or more data engineering technologies (listed below), a curious mindset to your client’s engagement, a thirst for knowledge, and a hunger for fearless experimentation in new and interesting ways to meet our clients’ most pressing data challenges.

    You are a self-starter, effective in breaking down large problems into smaller ones, and regularly share what you learn with others within your projects and in the broader Slalom Build community.

    You will have an insatiable need to become the best at what you do and will have many opportunities to gain hands-on experience with new data platforms and programming languages as you explore a range of technologies that we help our clients with including:

  • Big Data Platforms (Apache Spark, Presto, Amazon EMR)
  • Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
  • Object Oriented Coding (Java, Python)
  • NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
  • Container Management Systems (Kubernetes, Amazon ECS)
  • Artificial Intelligence / Machine Learning (Amazon Sagemaker, Azure ML Studio)
  • Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
  • Visual Analytics (Tableau, PowerBI)
  • Modern Data Workflows (Apache Airflow, dbt, Dagster).
  • About Us

    Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always.

    From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life.

    We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value.

    At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

    Compensation and Benefits

    Slalom prides itself on helping team members thrive in their work and life.

    As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability.

    We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

    Slalom is committed to fair and equitable compensation practices.

    For this position, we're targeting to hire at the Sr. Consultant or Principal level and the base salary pay range is $136,500 to $187,500 dependent on experience.

    In addition, individuals may be eligible for an annual discretionary bonus.

    Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors.

    The salary pay range is subject to change and may be modified at any time.

    EEO and Accommodations

    Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.

    Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.

    Slalom welcomes and encourages applications from individuals with disabilities.

    Reasonable accommodations are available for candidates during all aspects of the selection process.

    Please advise the talent acquisition team if you require accommodations during the interview process.

    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)

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    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 Slalom 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 Seattle. 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.

    How Can I Improve My Chances of Getting Hired for Data Architect?

    To improve your chances of getting hired for Data Architect, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Data Architect Job Success

    Slalom 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 Slalom'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 Slalom, 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 Slalom'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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