Position: Databricks Project Manager
Location: DMV - Hybrid (Weekly 3 days Onsite)
Duration: 12+ Months
The Person
You are a detail-oriented and analytical problem solver who enjoys tackling complex data challenges. You communicate clearly and collaborate effectively with cross-functional teams to deliver meaningful, data-driven solutions. You are adaptable, service oriented, curious, and passionate about using modern data technologies to unlock insights. Highly organized and proactive, you can manage multiple priorities while maintaining a strong focus on quality, scalability, and innovation.
Key Responsibilities
- Implement and optimize data models and structures within Databricks to support efficient querying, analytics, and reporting.
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows, with a strong emphasis on dimensional data modeling and data quality.
- Partner with engineering teams and business stakeholders to gather requirements and deliver reliable analytics solutions.
- Develop, optimize, and maintain SQL queries, notebooks, and scripts for data ingestion, transformation, and processing.
- Ensure data accuracy, consistency, and integrity through validation, monitoring, and data cleansing processes.
- Create and maintain comprehensive documentation for data pipelines, models, and analytics solutions.
- Monitor, troubleshoot, and optimize data pipelines and analytics workloads to ensure performance and reliability.
- Stay current with industry trends, including AI-driven analytics tools, semantic modeling, and emerging data engineering best practices.
Preferred Experience
- Hands-on experience implementing and operating solutions in Databricks.
- Strong understanding of ETL/ELT architectures and data ingestion patterns.
- Proficiency in Python and/or Spark for large-scale data processing.
- Experience designing and implementing dimensional data models in data lakehouse environments.
- Familiarity with AI-driven analytics platforms, semantic modeling concepts, and NLP techniques.
- Experience working in SAFe Agile or other scaled Agile environments.
- Solid understanding of data governance, security, and compliance best practices in global environments with numerous data providers and consumers.
Academic Credentials
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field preferred.
- Master’s degree is a plus.
- Databricks and Azure certifications strongly preferred.
Thanks & Regards,
Sekhar Pillala
Team Lead - Talent Acquisition
KMM Technologies, Inc.
CMMI Level 2 | ISO 9001 | ISO 20000 | ISO 27000 Certified
WOSB, SBA 8(A), MDOT MBE & NMSDC MBE
Contract Vehicles: 8(a) STARS III & Schedule 70
Tel: 240-800-1958 | Fax: (866) 856 3684
E-MAIL: sekhar.pillala@kmmtechnologies.com
Linked In: https://www.linkedin.com/in/sekhar-ji-1505ab22/
www.kmmtechnologies.com
