🔷 Job Title: Databricks Architect

🧠 Position Overview:
We are seeking a highly skilled Databricks Architect with deep expertise in data engineering, cloud platforms, and advanced analytics. This individual will play a critical role in designing, implementing, and optimizing scalable data solutions using the Databricks platform. As a trusted technical leader, you will collaborate across engineering, data science, and business teams to architect secure, high-performing, and cost-effective data pipelines and AI-driven systems.

🛠️ Key Responsibilities:

• Architect and implement scalable data platforms and pipelines using Databricks (Spark, Delta Lake, MLflow, etc.)

• Collaborate with stakeholders to design modern data architectures aligned with business needs.

• Lead migration efforts from legacy platforms to Databricks Lakehouse architecture

• Define data governance, quality, and security standards in collaboration with InfoSec and Compliance teams.

• Design and optimize data ingestion, transformation, and consumption patterns

• Guide and mentor data engineers and developers on Databricks best practices

• Integrate Databricks with tools like Power BI, Tableau, Kafka, Snowflake, or other enterprise systems.

• Evaluate and implement machine learning/AI workflows in a Databricks environment.

• Partner with cloud architects to ensure robust infrastructure setup on AWS, Azure, or GCP

• Create technical documentation, architectural diagrams, and data models.

✅ Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

• 8+ years of experience in data engineering or architecture roles

• 3+ years of experience architecting solutions with Databricks

• Expertise with Apache Spark, Delta Lake, MLflow, and Lakehouse architecture

• Proficiency in SQL, Python, and/or Scala

• Hands-on experience with cloud platforms (AWS, Azure, or GCP)

• Deep understanding of distributed computing, performance tuning, and data security

• Experience with CI/CD pipelines, DevOps tools, and orchestration tools (e.g., Airflow, Data Factory)

• Strong communication, leadership, and stakeholder management skills

• Ability to obtain and maintain a Public Trust clearance

🌟 Preferred Qualifications:

• Databricks Certified Data Engineer / Solutions Architect

• Familiarity with MLOps and deploying machine learning models in production

• Experience with data mesh, data fabric, or similar enterprise data architectures

• Public sector, healthcare, or financial services experience is a plus

🎁 What We Offer:

• Competitive compensation package

• Flexible hybrid work schedule

• Comprehensive medical, dental, and vision benefits

• 401(k) with company match

• Paid time off, holidays, and wellness days

• Training and certification reimbursements

• Opportunities to work on cutting-edge AI and big data projects

⚖️ Equal Opportunity Statement:
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

📣 Not Interested? Refer a Friend!
If this opportunity isn't the right fit for you, we'd still love your help. Know someone who'd be a great fit for this role? Refer them to us! We're always looking for talented professionals to join our team.