Job Description

Purpose:

As a Cloud Data Architect, you’ll be at the forefront of innovation — guiding clients and teams through the design and implementation of cutting-edge solutions using Databricks, modern data platforms, and cloud-native technologies. In this role, you won’t just architect solutions —you’ll help grow a thriving Analytics & Data Management practice, act as a trusted Databricks SME, and bring a business-first mindset to every challenge. You’ll have the opportunity to lead delivery efforts, build transformative data solutions, and cultivate strategic relationships with Fortune-500 organizations.

Key Result Areas and Activities:

• Architect and deliver scalable, cloud-native data solutions across various industries.
• Lead data strategy workshops and AI/ML readiness assessments.
• Develop solution blueprints leveraging Databricks (Lakehouse, Delta Lake, MLflow, Unity Catalog).
• Conduct architecture reviews and build proof-of-concept (PoC) prototypes on platforms like Databricks, AWS, Azure, and Snowflake.
• Engage with stakeholders to define and align future-state data strategies with business outcomes.
• Mentor and lead data engineering and architecture teams.
• Drive innovation and thought leadership across client engagements and internal practice areas.
• Promote FinOps practices, ensuring cost optimization within multi-cloud deployments.
• Support client relationship management and engagement expansion through consulting excellence.

Roles & Responsibilities

Essential Skills:

• 10+ years of experience designing and delivering scalable data architecture and solutions.
• 5+ years in consulting, with demonstrated client-facing leadership.
• Expertise in Databricks ecosystem including Delta Lake, Lakehouse, Unity Catalog, and MLflow.
• Strong hands-on knowledge of cloud platforms (Azure, AWS, Databricks, and Snowflake).
• Proficiency in Spark and Python for data engineering and processing tasks.
• Solid grasp of enterprise data architecture frameworks such as TOGAF and DAMA.
• Demonstrated ability to lead and mentor teams, manage multiple projects, and drive delivery excellence.
• Excellent communication skills with proven ability to consult and influence executive stakeholders.

Desirable Skills

• Recognized thought leadership in emerging data and AI technologies.
• Experience with FinOps in multi-cloud environments, particularly with Databricks and AWS cost optimization.
• Familiarity with data governance and data quality best practices at the enterprise level.
• Knowledge of DevOps and MLOps pipelines in cloud environments.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related fields.
• Professional certifications in Databricks, AWS, Azure, or Snowflake preferred.
• TOGAF, DAMA, or other architecture framework certifications are a plus.

Qualities:

• Self-motivated and focused on delivering outcomes for a fast growing team and firm
• Able to communicate persuasively through speaking, writing, and client presentations
• Able to consult, write, and present persuasively
• Able to work in a self-organized and cross-functional team
• Able to iterate based on new information, peer reviews, and feedback
• Able to work with teams and clients in different time zones
• Research focused mindset

"Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

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