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First seen by Alion on Nov 9, 2026.

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Object Edge builds Hive, a company brain for revenue, and delivers enterprise AI, ecommerce, CPQ and data engineering with embedded teams. Founded in 1994.
About Object Edge:

Object Edge is an AI-native, forward-deployed engineering firm. It builds Hive, a company brain for revenue, embeds engineers to build agentic workflows on it, and provides management engineering to lead the change.

Award-winning eCommerce consultancy that delivers end-to-end design and development solutions centered around our client’s goals and customer needs.

Our teams unite curious, intellectual advisors across the globe who creatively solve business problems and produce measurable results.

About the Position:

Senior Architect Data Engineer (Databricks)

What You’ll Do

• Collaborate closely with data leaders to drive sales, recruiting, account management,

consulting, and operational excellence across the practice

• Be part of our growing Databricks Center of Excellence and focus on leading on

Databricks projects.

• Act as a Databricks SME, supporting business development efforts and guiding clients

through best practices in architecture, data engineering, and scalable analytics

• Drive innovation and performance through a team-based approach that values output,

ownership, and employee wellbeing

• Lead and manage project risk—including planning, budgeting, deliverables, and

executive-level alignment

• Deepen Slalom’s presence in the market by developing proposals, SOWs, and strategies

to grow our footprint within existing accounts

• Provide technical and architectural guidance on Databricks, modern data platforms, and

cloud-native solutions to both clients and Slalom team members

• Be a mentor and thought leader, regularly recommending emerging technologies and

tools that align with client goals and future-state data strategies

• Bring a business-first lens to every conversation, driving impactful, tech-enabled

outcomes that elevate our clients’ competitive edge.

Location: Remote - United States

What You’ll Bring:

As a Senior Architect in the Databricks practice, you will bring your broad experience in architecture

design and deep expertise in data engineering to tackle the most complex data challenges for our

clients. You are a visionary leader who can drive strategic initiatives and foster an environment of

innovation. Key Responsibilities:

• Develop and oversee large-scale data architecture projects, leveraging Databricks and its specific

platform features such as Delta Lake, Unform (Iceberg), Delta Live Tables, and Unity Catalog to

deliver high-impact solutions.

• Provide leadership and strategic direction to engineering teams, ensuring alignment with client

objectives, and maximizing the use of Databricks' features.

• Serve as a trusted advisor to clients, guiding them through digital transformation and data

strategy development, with a focus on leveraging Databricks to its fullest potential.

• Serve complex Databricks implementation sales/pre-sales pursuits in the capacity of Sales

Solution Lead/Lead Architect crafting tailored proposals based on client needs.

• Lead large Databricks migration/modernization delivery engagements as a Delivery Solution

Lead leading a team of data architects and engineers.

Experience You’ll Bring:

•Strong experience in data engineering or architecture, and extensive hands-on experience with Databricks, including specific products like Delta Lake,

Delta Live Tables, and Unity Catalog.

• Mastery of Big Data Platforms, Cloud Data Warehouses, and Object-Oriented Programming.

• Expertise in NoSQL Databases, Container Management Systems, and AI/ML tools.

• Overall understanding of different Databricks platform and governance capabilities to drive

design of customized, tailored data platform solution meeting client business needs.

• Bring in deep, demonstratable industry experience in designing data & AI platform solution

delivery enabling business value delivery.

• Experience in delivering large scale migration, modernization initiative from legacy Data

Warehouses to Databricks Lakehouse platform.

• An ideal candidate will have Databricks Data Engineering Professional ceritification

completed with experience in leading multiple complex Databricks project delivery

experience. Compensation:

Salary is commensurate with experience based on department and role.

Object Edge provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We believe in providing employees with a work environment free of unlawful discrimination and harassment. In addition to national law requirements, Object Edge complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Originally posted on Himalayas

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