KATBOTZ LLC Logo

KATBOTZ LLC

Databricks SME (Subject Matter Expert)

Reposted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The Databricks SME will lead the design and development of data platforms and pipelines, optimize workflows, mentor teams, and ensure compliance and security standards.
The summary above was generated by AI

This is a remote position.

KATBOTZ is seeking an experienced Databricks SME to support enterprise-level data engineering and analytics initiatives. The ideal candidate will have deep expertise in the Databricks ecosystem, big data technologies, cloud platforms, and modern data architecture. The candidate will work closely with cross-functional teams to design, optimize, and implement scalable data solutions for global clients.

Key Responsibilities
  • Lead the design, development, and optimization of Databricks-based data platforms and pipelines.

  • Provide technical expertise on Databricks architecture, performance tuning, and best practices.

  • Build scalable ETL/ELT workflows using Apache Spark and Databricks.

  • Collaborate with business stakeholders, architects, and engineering teams to gather requirements and deliver solutions.

  • Implement Delta Lake, data governance, and data quality frameworks.

  • Support migration of legacy data platforms to Databricks.

  • Optimize data processing workflows for performance and cost efficiency.

  • Mentor development teams on Databricks, Spark, and cloud-native solutions.

  • Troubleshoot production issues and provide timely resolutions.

  • Ensure adherence to security, compliance, and coding standards.

Required Skills & Qualifications
  • 10+ years of experience in Data Engineering and Big Data technologies.

  • Strong hands-on expertise in Databricks and Apache Spark.

  • Experience with Python, PySpark, SQL, and Scala.

  • Expertise in Delta Lake, Unity Catalog, and Databricks Workflows.

  • Strong understanding of data warehousing and modern lakehouse architecture.

  • Experience with cloud platforms such as Microsoft Azure, Amazon AWS, or Google GCP.

  • Experience integrating Databricks with BI and reporting tools.

  • Knowledge of CI/CD pipelines and DevOps practices.

  • Strong analytical and problem-solving skills.

  • Excellent communication and stakeholder management abilities.


Preferred Qualifications

  • Databricks Certified Professional certification.

  • Experience in real-time streaming using Kafka or Structured Streaming.

  • Exposure to AI/ML workflows within Databricks.

  • Prior experience working with global remote teams.

Benefits
  • Competitive compensation package 
  • Opportunities for professional development and career advancement.
  • Flexible working conditions, with remote options available.
  • Dynamic and supportive work environment.
Equal Employment Opportunity

KATBOTZ LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.




Similar Jobs

An Hour Ago
Remote or Hybrid
Senior level
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Prepares individual, business, and fiduciary tax returns and projections; researches tax issues; supports engagement planning; communicates with clients and engagement leaders; manages deadlines and budgets; identifies engagement opportunities; provides technical client assistance; and participates in professional development and community activities.
Top Skills: AdobeAxcessCasewareDepreciation Processing SoftwareGofileroomExcelMicrosoft PowerpointMicrosoft WordRia
An Hour Ago
Remote or Hybrid
Senior level
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Manage partnership tax compliance and advisory engagements, including federal and multistate returns, tax research, projections, and client communications. Lead client relationships, support business development, mentor staff, coordinate multidisciplinary teams, and ensure engagement deadlines and budgets are met. The role focuses on Subchapter K partnership taxation and requires technical consultation, review of tax-related information, and use of tax preparation software.
An Hour Ago
Remote or Hybrid
Senior level
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Manage partnership tax compliance and advisory engagements, review federal and multistate returns, handle client relationships, consult on technical tax matters, support business development, and mentor staff. Prepare individual, business, and fiduciary returns, conduct tax research, communicate with engagement leaders, manage deadlines and budgets, and provide client technical assistance, primarily involving Subchapter K partnership taxation.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account