Job Description

Databricks Technical Lead

New York, NY

Full Time

Hybrid (3 days onsite)

RESPONSIBILITIES:

• Design, develop and implement data solutions based on best industry practices.
• Proactively drive the vision for BI and Data warehousing across organization. Build cross-functional relationships to understand data needs and deliver on those needs using our "4R” model (the Right Data, the Right People, the Right Time, the Right Decisions).
• Create data pipelines to facilitate the movement of data between multiple data sources and cloud databases to create a unified data view.
• Transform and cleanse raw data into a format that is suitable for analysis and visualization.
• Analyze business and functional requirements and translate those into database structures and technical designs.
• Create and implement a Unified Data Framework and data model to bridge and to contextualize data sources across systems.
• Define data validation rules and automation.
• Ensure data quality across data warehouse and analytics platforms.
• Develop visualizations, reports, dashboards, apps and KPI scorecards.
• Deliver enhancements with a view towards effectively normalized databases, best practices, and integration of data stores.
• Implement Software Development Lifecycle (SDLC) and other best practices, including the creation and maintenance of proper technical and business process documentation.
• Partner with VP of IT in ROI analysis and business case studies for project approval.
• Manage & execute projects, develop schedules, manage risks and issues, facilitate meetings, report status to IT Leadership and Business Stakeholders.
• Perform Root Cause Analysis on major issues with a focus on finding ways to prevent repeated future problems.
• Stay up to date with emerging technology trends and recommend relevant enhancements or integrations to improve operational effectiveness.

QUALIFICATIONS:

Skills:

• Ad-hoc report writing using advanced SQL techniques.
• Experience building Business Analytics applications for Salesforce CRM products and ERP systems.
• Expert knowledge of data management, Master Data Management (MDM), Data Quality.
• Ability to gather, synthesize and analyze data and draw logical conclusions.
• Strong analysis and problem-solving abilities. Technical eye for details.
• Solid teamwork and interpersonal skills with a customer service focus and a solid understanding of ITIL process.
• Highly self-motivated and able to work independently with minimal supervision.
• Excellent verbal and written communication skills.
• Expertise in managing multiple projects in parallel.
• Experienced knowledge of project management methodologies such as SCRUM, Agile, hybrid and best practices.
• Business Requirements gathering, writing business and functional requirements.
• Understanding of User Experience, User Acceptance and Regression Testing concepts.

Work Experience:

• The ideal candidate has 10 or more years' experience with software development, data warehouses & data lake, and demonstrable experience managing a team and external consultants.
• Implementation experience with Databricks data warehouse & Tableau self-service analytics is essential.
• Hands on experience with Data warehouse & BI tools (Tableau, Qlik Sense, Power BI, Databricks, Snowflake – Tableau and Databricks preferred).
• Well versed in SQL, Scripting, Database, ETL processes, Data Modeling, Data Warehouse methodologies, Data Management, Data Modeling and Performance Tuning.
• SDLC implementation experience.
• Knowledge of Salesforce CRM and Sage Intacct data model is preferred.

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