Databricks Lakehouse Architect - AI & Data Strategy

Bits In Glass; United States; Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Remote-friendly

Great culture

Continued learning

Competitive compensation

Job summary

Bits In Glass is seeking a hands-on Databricks Solution Architect to design data and AI platforms for enterprise clients. You will shape Lakehouse architectures, build working prototypes, and set the technical direction that delivery teams carry forward, partnering with account and delivery teams through the sales process.

This role requires deep data engineering experience, strong communication, and the ability to translate complex topics into business value for technical and executive

Qualifications

• 3+ years of hands-on experience with Databricks and/or Snowflake in a technical capacity.
• 5+ years in customer-facing technical roles — solutions architecture, technical consulting, or sales engineering.
• Experience designing, presenting, and delivering production data architectures for enterprise customers – including Lakehouse, Delta Lake, and Unity Catalog Patterns – on AWS, Azure, and/or GCP.
• Databricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional).
• Strong expertise in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML.
• Fluency in Python and SQL (Scala, Java, or R is a plus).
• Exceptional verbal and written communication and presentation skills - able to engage in and lead business-level meetings with technical and non-technical Client and internal team members.
• Ability to translate complex topics into clear business value and earn buy‑in from engineers and executives.

Responsibilities

• Design scalable Databricks solution architectures — Lakehouse, Delta Lake, and Unity Catalog patterns - tailored to each customer's environment and business goals.
• Lead technical discovery workshops to understand customer business objectives, data challenges, and current-state architecture
• Build working prototypes, proofs-of-concept, and reference architectures that showcase the capabilities of the Databricks Lakehouse Platform.
• Guide customers on best practices for data pipelines, data modeling, and platform governance.
• Advise on integrating Databricks with hyperscaler environments (AWS, Azure, GCP) and adjacent data tooling.
• Demonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI use cases, including Mosaic AI, MLflow, and Feature Store.
• Identify and mitigate technical risks early so delivery teams are set up for success.
• Translate complex technical concepts into clear business value for both technical stakeholders and executive audiences.
• Partner with account teams throughout the sales process – from early prospect conversations through evaluation – to shape sound, winning technical strategies
• Collaborate with Data Scientists and ML Engineers to develop AI-powered demo assets and reference architectures.
• Travel up to 15% for customer meetings and partner collaboration.

Skills

Databricks

Snowflake

Solutions architecture

Customer-facing

Python

SQL

Communication

Presentations

Education

Bachelor's degree in Computer Science

Tools

dbt

Fivetran

Airflow

Delta Lake

Delta Sharing

Job description

Bits In Glass is seeking a hands-on Databricks Solution Architect to design data and AI platforms for enterprise clients. You will shape Lakehouse architectures, build working prototypes, and set the technical direction that delivery teams carry forward, partnering with account and delivery teams through the sales process.

This role requires deep data engineering experience, strong communication, and the ability to translate complex topics into business value for technical and executive