Position Summary
We are seeking an experienced Business Analyst to work closely with business stakeholders and technology teams to deliver business solutions that improve operational efficiency and support organizational goals. The ideal candidate will gather requirements, analyze business processes, and support the implementation of business and technology initiatives.
Key Responsibilities
Gather, analyze, and document business and functional requirements.
Conduct stakeholder meetings, workshops, and process reviews to identify business needs and improvement opportunities.
Translate business requirements into user stories, process flows, use cases, and functional specifications.
Support system implementations, enhancements, integrations, data migration, and process improvement initiatives.
Collaborate with developers, QA teams, project managers, and business users throughout the project lifecycle.
Facilitate User Acceptance Testing (UAT), issue resolution, and user adoption activities.
Maintain project documentation, including Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), workflows, and process maps.
Communicate project status, risks, issues, and dependencies to stakeholders.
Identify opportunities to improve business processes and recommend effective solutions.
Required Qualifications
Bachelor's degree in Business, Information Systems, Computer Science, or a related field.
5+ years of experience as a Business Analyst.
Strong experience in requirements gathering, business process analysis, documentation, and stakeholder management.
Experience creating BRDs, FRDs, User Stories, Use Cases, and Process Flow Diagrams.
Experience supporting business applications, system implementations, and process improvement initiatives.
Familiarity with Agile and/or Waterfall methodologies.
Excellent communication, facilitation, analytical, and problem-solving skills.
Ability to work effectively with cross-functional teams and manage multiple priorities.
3)Role : Databricks Resident Solutions Architect (RSA)
About the Role
We are seeking an experienced Databricks Resident Solutions Architect (RSA) to lead the architecture, implementation, and optimization of enterprise Databricks Lakehouse solutions. This is a hands-on, customer-facing role requiring deep Databricks expertise, strong architecture skills, and the ability to guide engineering and data teams.
Key Responsibilities
• Lead the architecture and delivery of enterprise Databricks Lakehouse implementations.
• Design scalable solutions using Databricks, Delta Lake, Apache Spark, Unity Catalog, and Databricks Workflows.
• Provide hands-on technical leadership for complex Databricks data engineering projects.
• Optimize Spark and Databricks workloads for performance, scalability, reliability, and cost.
• Design and implement enterprise ETL/ELT pipelines using Databricks, Spark, Python, and SQL.
• Establish Unity Catalog governance, security, access controls, and data management practices.
• Support migration and modernization of legacy data platforms to Databricks Lakehouse.
• Implement CI/CD and DevOps practices for Databricks deployments.
• Partner with data science teams on MLflow, MLOps, machine learning, and GenAI/LLM workloads.
• Troubleshoot complex Databricks, Spark, Delta Lake, and pipeline issues.
• Conduct architecture workshops and advise customers on Databricks best practices and roadmap.
• Mentor engineering teams and serve as a trusted technical advisor to customer stakeholders.
Required Qualifications
• 7+ years of experience in data engineering, data architecture, or cloud data platforms.
• 3+ years of hands-on Databricks experience with multiple enterprise implementations.
• Strong expertise in:
• Databricks Lakehouse Platform
• Delta Lake
• Apache Spark
• Unity Catalog
• Databricks Workflows/Jobs
• Databricks SQL
• ETL/ELT and data engineering
• Strong Python, SQL, and PySpark skills.
• Experience with Azure Databricks, AWS Databricks, or Databricks on GCP.
• Strong understanding of Spark performance tuning and distributed processing.
• Experience with CI/CD, MLOps, and MLflow.
• Experience with Databricks governance, security, and data architecture.
• Strong customer-facing consulting, communication, and presentation skills.
• U.S. work authorization without current or future visa sponsorship.
Preferred Qualifications
• Databricks Certified Data Engineer Professional certification.
• Databricks Solutions Architect certification.
• Experience with Generative AI, LLMs, Vector Search, Model Serving, and Mosaic AI.
• Experience with Structured Streaming and real-time data processing.
• Experience migrating enterprise data warehouses/data lakes to Databricks.
• Experience in consulting or professional services environments.
Qualifications: