Databricks Architect
Job Summary
Job Description
ShyftLabs is looking for a skilled Databricks Architect to design, build, and optimize big data and AI/ML solutions on the Databricks Unified Analytics Platform. The role involves leading the adoption of Apache Spark, developing scalable ETL pipelines, and ensuring data governance and security. The ideal candidate will work with cross-functional teams, automate data workflows, and troubleshoot performance issues within Databricks clusters. This position requires strong problem-solving abilities and experience with cloud platforms like AWS, Azure, or GCP.
Must have:
- 8+ years in data engineering
- 5+ years in Databricks Architect/Spark
- Proficiency in SQL, Python, or Scala
- Experience with AWS, Azure, or GCP
- Knowledge of ETL, data lakes, Delta Lake
- Experience with CI/CD and DevOps
- Familiarity with data security/governance
- Strong problem-solving skills
Good to have:
- Databricks certifications
- Experience with MLflow, Feature Store
- Exposure to Kubernetes, Docker, Terraform
- Experience with streaming data architectures
- Understanding of BI/reporting tools
- Experience in retail/e-commerce/ad-tech
Perks:
- Competitive salary
- Strong insurance package
- Extensive learning and development resources
16 skills required
Job Details
Position Overview:
ShyftLabs is seeking an experienced Databricks Architect to lead the design, development, and optimization of big data solutions using the Databricks Unified Analytics Platform. This role requires deep expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to architect scalable, high-performance data platforms and drive data-driven innovation.
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to accelerate business growth across various industries by focusing on creating value through innovation.
Job Responsibilities
- Architect, design, and optimize big data and AI/ML solutions on the Databricks platform.
- Develop and implement highly scalable ETL pipelines for processing large datasets.
- Lead the adoption of Apache Spark for distributed data processing and real-time analytics.
- Define and enforce data governance, security policies, and compliance standards.
- Optimize data lakehouse architectures for performance, scalability, and cost-efficiency.
- Collaborate with data scientists, analysts, and engineers to enable AI/ML-driven insights.
- Oversee and troubleshoot Databricks clusters, jobs, and performance bottlenecks.
- Automate data workflows using CI/CD pipelines and infrastructure-as-code practices.
- Ensure data integrity, quality, and reliability across all data processes.
Basic Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 8+ years of hands-on experience in data engineering, with at least 5+ years in Databricks Architect and Apache Spark.
- Proficiency in SQL, Python, or Scala for data processing and analytics.
- Extensive experience with cloud platforms (AWS, Azure, or GCP) for data engineering.
- Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture.
- Hands-on experience with CI/CD tools and DevOps best practices.
- Familiarity with data security, compliance, and governance best practices.
- Strong problem-solving and analytical skills in a fast-paced environment.
Preferred Qualifications:
- Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).
- Hands-on experience with MLflow, Feature Store, or Databricks SQL.
- Exposure to Kubernetes, Docker, and Terraform.
- Experience with streaming data architectures (Kafka, Kinesis, etc.).
- Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).
- Prior experience working with retail, e-commerce, or ad-tech data platforms.
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
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About The Company
Here at ShyftLabs, we build data products to help enterprises deliver real impact through tailored data analytics, science, and AI solutions. From consulting to operations, we guide our customers through their data journey and ensure they are data and AI-empowered.
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