This is Srikanth from Reliable Software. We have an opportunity with one of our direct clients, and I'd like to share the details with you. Please review the information below and let me know if you're interested. Kindly share your updated resume if you'd like to be considered.
Job Title: Lead Databricks Data Engineer
Location: Dublin, OH (hybrid onsite)
Role Overview
We are seeking a highly experienced Data Modeler to design and implement enterprise-grade data solutions. This role requires deep expertise in data modeling principles, data architecture frameworks, and modern cloud-based platforms. The candidate will play a critical role in shaping our data ecosystem, ensuring scalability, performance, and alignment with business needs.
Required Qualifications
10+ years of experience in data modeling and data architecture.
Proven track record in designing enterprise data warehouses and analytical platforms.
Strong understanding of Medallion architecture and modern data lakehouse design.
Proficiency in SQL, data modeling tools (e.g., ERwin, PowerDesigner), and ETL/ELT frameworks.
Hands-on experience with Google BigQuery and Databricks.
Skills: Preferred Skills
Knowledge of data governance, metadata management, and master data management.
Experience with performance tuning and query optimization in large-scale environments.
Familiarity with data security and compliance standards.
Educational Qualifications:
- Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.
- Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.
Travel:
· Open to travel based up on the nature of the engagement.
Thanks & Regards
Srikanth Donkani
Sr. Talent Acquisition Specialist
(w):
(E):
2260 Haggerty Road, Suite 285 Northville, MI 48167
Equal Employment Opportunity
Reliable Software employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law.
Employment decisions are based solely on qualifications, merit and business needs.