What are the responsibilities and job description for the Director - Data Platforms position at Eucloid Data Solutions?
Job Profile:
This role will serve as a strategic advisor to senior leadership within the client’s data organization, while also owning the definition and execution of the data platform roadmap.
The individual will work closely with offshore delivery leadership to ensure seamless execution and that Eucloid consistently meets and exceeds client expectations. They will play a key role in aligning business objectives with data platform capabilities, driving both strategic direction and operational excellence.
Beyond client delivery, this role will actively contribute to business development initiatives by bringing a strong point of view on data platforms. This includes participating in key client discussions, shaping solution strategies, and supporting pursuits for new business opportunities.
Qualifications:
• 15 years of experience in designing, architecting, and implementing large scale data
processing/data storage/data distribution systems.
• Bachelor’s or master’s degree in computer science, Data Science, or a related field.
• Proven experience as a Databricks Architect with a focus on data engineering.
• Strong expertise in designing and implementing data solutions on cloud platforms (AWS, Azure,
GCP).
• Extensive knowledge of Spark, SQL, and Databricks notebooks.
• Proficient in programming languages such as Python or Scala.
• Experience with data modeling, ETL processes, and data warehousing.
• Familiarity with data governance, security, and compliance principles.
• Excellent communication and interpersonal skills.
• Relevant certifications (e.g., Databricks Certified Professional, AWS/GCP/Azure Certified Data
Architect) are a plus.
Responsibilities:
• Design end-to-end data solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
• Develop architectural blueprints, data models, and workflows to meet business requirements.
• Demonstrate in-depth knowledge of Databricks architecture, features, and capabilities.
• Lead the design and implementation of ETL processes, data pipelines, and data workflows.
• Utilize data engineering best practices to ensure data quality, reliability, and efficiency.
• Integrate Databricks solutions with other components of the data ecosystem, including data
warehouses, data lakes, and BI tools.
• Implement and enforce security best practices for Databricks environments.
• Help maintain comprehensive documentation for Databricks solutions, architecture, and
processes.
• Support Eucloid’ business development efforts in the capacity of data technology expert.
Location: South NJ/ Philadelphia
Work mode: Hybrid (Weekly- 3 days work from office, 2 days’ work from home.