Databricks Partner Solution Lead - Senior Principal, Central Region

Slalom, LLC
Austin, TX, United States
10 days ago
Apply on www.disabledperson.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$158,000.0 - $217,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Apache HTTP Server Microsoft Azure Cloud Engineering Databases Continuous Integration Data Architecture Information Engineering Data Infrastructure Data Warehousing
+13 more
DevOps Identity and Access Management Data Intelligence Interoperability Machine Learning Performance Tuning Search Technologies Cloud Platform System Model Validation Data Lakes Machine Learning Operations Data Pipelines Databricks

Job description

You will help shape high-impact pursuits, bring technical clarity to complex client problems, and design solutions that connect Databricks’ Data Intelligence Platform with Slalom’s broader consulting, engineering, industry, and delivery capabilities. This role is ideal for a senior technical leader who can move comfortably between executive conversations, solution architecture, partner strategy, and hands-on technical direction.

What You’ll Do

Lead Databricks Solution Strategy: Partner with sales, industry, and Databricks teams to shape pursuits, qualify opportunities, define solution strategy, and create compelling proposals, presentations, demos, and statements of work.

Architect Modern Data and AI Platforms: Design scalable Databricks solutions across data engineering, lakehouse architecture, data warehousing, analytics, machine learning, GenAI, and agentic AI workloads.

Bring Databricks Platform Expertise: Advise clients on modern Databricks capabilities including Unity Catalog, Lakeflow, Delta Lake, Apache Iceberg interoperability, Databricks SQL, AI/BI, Genie, Mosaic AI, Agent Bricks, Model Serving, Vector Search, MLflow, Databricks Apps, and Lakebase.

Connect Business Value to Technical Decisions: Develop TCO, ROI, modernization, migration, and platform adoption narratives that help clients understand the business impact of Databricks investments.

Drive Partner-Led Growth: Work closely with Databricks field teams and Slalom market teams to identify, shape, and expand new and existing opportunities across priority industries and regions.

Create Repeatable Solutions: Contribute to reusable offerings, demos, reference architectures, accelerators, and sales plays that help Slalom scale its Databricks partnership.

Guide Delivery Excellence: Provide technical oversight during pursuit-to-delivery transitions, ensuring solutions are achievable, well-scoped, secure, governed, and aligned to client outcomes.

Requirements

Senior Data and AI Architecture Experience: 8+ years in consulting, data architecture, analytics, AI, or cloud engineering, including 5+ years designing and delivering modern data platforms in cloud environments.

Databricks Depth: Hands-on experience with Databricks is required, including a strong understanding of Lakehouse architecture, data engineering, governance, analytics, and production implementation patterns.

Presales and Pursuit Leadership: 3+ years leading technical presales, solutioning, or pursuit processes, with demonstrated success partnering with sales and consulting leaders to craft client-specific solutions.

Modern AI Fluency: Familiarity with GenAI, agentic AI, RAG, ML/LLMOps, model evaluation, model serving, and governed AI patterns. Experience with Databricks Mosaic AI, Agent Bricks, MLflow, or Vector Search is a strong plus.

Cloud Platform Knowledge: Experience with AWS, Azure, or GCP data services, including storage, networking, identity and access management, databases, compute, and security controls.

Commercial and Executive Presence: Ability to translate complex technical topics into business value for executives, technical buyers, and delivery teams.

Delivery Credibility: Background in data modeling, data pipeline development, DevOps, CI/CD, migration, performance optimization, and production platform operations.

Relationship Builder: Track record of growing client relationships, collaborating with partner field teams, and building trust across sales, delivery, and technical stakeholders.

Benefits & conditions

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 at the Senior Principal level, the base salary pay range will be $158,000 - $217,000 with an annual bonus target.

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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.disabledperson.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

Videos

See all

Related articles

See all