Synectics
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.
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.