Data Architect Jobs in Kentucky (NOW HIRING)

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.

Our Data Architecture & Engineering teams helps organizations modernize their data ecosystems and build the foundations required for analytics, machine learning, artificial intelligence, and Generative AI. We partner with clients to design scalable, secure, cloud-native data platforms that enable better decision-making, operational efficiency, and innovation.

Slalom maintains strategic partnerships and deep expertise across the leading cloud and data platforms, including AWS, Microsoft Azure, Google Cloud Platform (GCP), Databricks, and Snowflake. Our Data Engineering teams regularly work across multiple technologies, and we also have Centers of Excellence dedicated to each of these platforms. While expertise across all platforms is not required, your experience, interests, and strengths will help determine which team and opportunities are the best fit for you.

As a Data Architect, you will help clients design and deliver modern, scalable data platforms that enable analytics, AI, machine learning, and Generative AI solutions. Working closely with client stakeholders, engineers, and Slalom teams, you will guide architecture decisions while remaining connected to delivery and implementation.

You will:

• Design and evolve cloud-native data architectures, including data lakes, lakehouses, data warehouses, and real-time data platforms.
• Translate business objectives into scalable, secure, and maintainable data solutions.
• Lead architecture and technical design efforts from discovery through implementation.
• Partner with engineering teams to deliver modern data platforms across AWS, Azure, GCP, Databricks, Snowflake, and related technologies.
• Design and operationalize AI-ready data foundations that support analytics, machine learning, Generative AI, and agentic AI workloads.
• Apply AI-enabled engineering practices to improve quality, productivity, and delivery outcomes.
• Facilitate architecture workshops, technical discovery sessions, and stakeholder alignment.
• Mentor engineers and architects, helping grow technical capabilities and foster a culture of learning and innovation.
• Collaborate with Slalom's Data Engineering teams and platform Centers of Excellence to share best practices and advance delivery excellence.
• Support business development activities, including solution design, client conversations, and technical pre-sales efforts.

You are a collaborative architect who enjoys solving complex business challenges through modern data and AI solutions. You combine strong technical expertise with the ability to communicate effectively across stakeholders, helping organizations transform data into business value.

• 8+ years of experience in data engineering, data architecture, or related technical disciplines.
• Experience designing and implementing enterprise-scale cloud data platforms and modern data architectures.
• Strong understanding of data lakes, lakehouses, data warehouses, streaming architectures, and data governance concepts.
• Hands‑on experience with at least one major cloud platform (AWS, Azure, or GCP) and a desire to continue expanding your expertise across the broader cloud ecosystem.
• Experience leading architecture efforts from discovery through implementation while remaining engaged in delivery.
• Strong communication, consulting, and stakeholder management skills.
• Passion for mentoring others, continuous learning, and emerging technologies.

We recognize that great architects develop expertise in different technology ecosystems. We do not expect candidates to have deep experience in every platform we support.

Experience in many of the following areas is preferred:

• Cloud platforms and modern data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, and related services.
• Data engineering and analytics technologies, including distributed processing, batch and streaming architectures, data integration, orchestration, and modern data platform design.
• Development and engineering practices using technologies such as Python, Java, SQL, APIs, CI/CD, Infrastructure as Code, and containers.
• Data management disciplines including data modeling, governance, metadata, quality, security, and platform operations.
• AI, machine learning, and Generative AI solutions, including AI-enabled engineering practices, MLOps, retrieval‑augmented generation (RAG), vector technologies, and agentic AI architectures.
• Designing, building, and operationalizing data platforms that support analytics, AI, ML, and Generative AI workloads at enterprise scale.

• Cloud, Databricks, Snowflake, or platform‑specific certifications.
• Experience with multi‑cloud environments and data platform modernization initiatives.
• Experience supporting AI transformation, data strategy, or technical pre‑sales activities.

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 partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.

What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That’s why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.

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 role, we are hiring at the following levels and targeted base pay salary ranges:

• All other locations - $115,000 - $146,000
• All other locations - $146,000 - $183,000

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.

Wearecommittedtopaytransparencyandcompliancewithapplicablelaws.Ifyouhavequestionsorconcernsaboutthepayrangeorothercompensationinformationinthisposting,pleasecontactusat: peopleone@slalom.com .Pleasenote,thisrecipientisnotabletosupportrecruitmentinquiriesbeyondthispurpose.

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 these selection process. Please advise the talent acquisition team or contact accommodationrequest@slalom.com if you require accommodations during the interview process.

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