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) - Contract 6+ months / Start date - Dec/Jan
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
Contract length: This is a six-month contract position with the possibility of extension.
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.
Lead Databricks architecture and data engineering engagements, advising clients on platform strategy, guiding engineering teams, and delivering complex migrations, modernization projects, and tailored solutions.
Build and operate production data pipelines connecting CRM, Data Lake, and Adobe Experience Platform, while ensuring data quality, LGPD compliance, and reproducible engagement metrics.
Build and optimize Databricks data platforms and pipelines across batch and streaming workloads, contribute technical leadership and solution accelerators, and help deliver scalable client data solutions.
Lead delivery of Databricks data engineering solutions, designing and optimizing scalable batch and streaming pipelines while contributing to data platform architecture and reusable solution accelerators.
Lead Databricks data engineering work to design and implement scalable lakehouse platforms and batch and streaming pipelines, while contributing to solution architecture, data quality, and Databricks accelerators.
