CrawlJobs Logo

Vice President Databricks Practice

United States, Frisco · Job Posted December 13, 2025
Apply Position
Job Link Share

Job Description

We are seeking a dynamic and results-driven Vice President Databricks Practice to establish, grow, and scale our solutions, implementation and Databricks practice. You will be responsible for developing the strategy, driving revenue growth, building strong client relationships, and working with high-performing teams that deliver world-class data and AI solutions leveraging the Databricks Platform. You will serve as both a thought leader and a hands-on solutions executive, bridging business strategy with technical delivery. You will engage with C-suite clients to define transformative roadmaps, partner with Databricks as a strategic partner, and ensure our clients realize measurable business value from their data and AI investments.

Job Responsibility

  • Define and execute the vision and go-to-market strategy for developing our Databricks practice
  • Build and scale service offerings that integrate Databricks with data, AI, and cloud transformation solutions
  • Develop repeatable solutions, accelerators, and workshops, and formulate joint GTM strategies
  • Serve as a trusted advisor to C-suite and client executives, shaping their data, analytics, and AI initiatives using Databricks
  • Articulate WorldLink’s industry value proposition, incorporating Databricks elements, and ability to develop efficient implementation using Databricks
  • Strengthen and expand our alliance with Databricks, cloud hyperscalers (AWS, Azure, GCP), and complementary technology partners
  • Drive revenue growth through client acquisition, expansion of existing accounts, and joint GTM with Databricks and cloud partners
  • Collaborate with a high-performing team of data engineers, AI/ML engineers, architects, and consultants
  • Foster a culture of innovation, continuous learning, and delivery excellence
  • Possess continued interest in expanding organizational expertise, selling solutions and upscaling products using the Databricks platform

Requirements

  • 3-5 years of current experience using Databricks platform
  • Bachelor's degree and/or equivalent experience required
  • Databricks certification(s)
  • Prior experience working with Databricks in a similar role
  • Proven track record of Databricks implementation, including solutions selling and upscaling products
  • Proven success delivering solutions in collaboration with stakeholders and high performing teams
  • Strong project management experience in developing and executing strategic plans that drive growth and revenue
  • Self-motivated individual with the ability to thrive in a team-based or independent environment
  • Detail-oriented with excellent organizational skills and a methodical approach to solutions selling
  • Ability to work in a fast-paced environment
  • Excellent communication and presentation skills, capable of creating compelling content and delivering impactful presentations
  • Outstanding presence, presentation, and negotiation skills
  • the ability to inspire, engage, partner with, and influence executive-level leadership
  • Strong relationship-building skills with the ability to collaborate effectively with industry leaders, practitioners, and sales teams

What we offer

  • Medical Plans
  • Dental Plans
  • Vision Plan
  • Life & Accidental Death & Dismemberment
  • Short-Term Disability
  • Long-Term Disability
  • Critical Illness/ Accident/ Hospital Indemnity/ Identity Theft Protection
  • 401(k)

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Vice President Databricks Practice

8 matching positions

Data Engineer (Big Data, Cloud - AWS, Databricks) - Assistant Vice President

Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Scala, Spark/Pyspark is must, Hadoop ( BIG Data ), + AWS,Databricks
  • 8 to 11 years’ experience implementing data-intensive solutions using agile methodologies
  • Experience of relational databases and using SQL for data querying, transformation and manipulation
  • Experience of modelling data for analytical consumers
  • Ability to automate and streamline the build, test and deployment of data pipelines
  • Experience in cloud native technologies and patterns
  • A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
  • Excellent communication and problem-solving skills
  • An inclination to mentor
  • an ability to lead and deliver medium sized components independently
Job Responsibility
Job Responsibility
  • Developing and supporting scalable, extensible, and highly available data solutions
  • Deliver on critical business priorities while ensuring alignment with the wider architectural vision
  • Identify and help address potential risks in the data supply chain
  • Follow and contribute to technical standards
  • Design and develop analytical data models
  • Fulltime
Read More
Arrow Right

Data Engineer (Big Data, Python, Databricks) - Assistant Vice President

The Applications Development Senior Programmer Analyst is an intermediate level ...
Location
Location
India , Chennai, Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5-8 years of relevant handson experience in Big Data technologies like Cloudera, Python, HQL, Java/PySpark
  • Knowledge on Machine Learning, AI would be added advantage
  • Experience in systems analysis, data analysis and programming of software applications
  • Experience in managing and implementing successful projects
  • Working knowledge of consulting/project management techniques/methods
  • Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
  • Bachelor’s degree/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
  • Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
  • Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
  • Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
  • Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
  • Ensure essential procedures are followed and help define operating standards and processes
  • Serve as advisor or coach to new or lower level analysts
  • Has the ability to operate with a limited level of direct supervision
  • Can exercise independence of judgement and autonomy
  • Acts as SME to senior stakeholders and /or other team members
  • Fulltime
Read More
Arrow Right

Senior Databricks & Apache Spark Developer - Vice President

We are looking for a highly skilled Senior Databricks Engineer to contribute to ...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years in data engineering or distributed systems
  • Strong expertise in Apache Spark (JavaSpark / PySpark), Databricks on AWS, and Delta Lake
  • Experience with AWS services and large‑scale distributed data processing
  • Experience modernizing or refactoring legacy data platforms into cloud‑based architectures
  • Strong background in Spark performance tuning and large‑scale batch optimization
  • Ability to translate architecture into implementable designs
  • Understanding of data modeling and pipeline orchestration patterns
  • Strong problem‑solving mindset for complex distributed systems
  • Comfortable working in time‑bound, high‑impact environments
  • Proactive, accountable, and collaborative
Job Responsibility
Job Responsibility
  • Platform Engineering & Modernization: Refactor and modernize existing Spark pipelines to Databricks native architectures
  • Eliminate legacy Hadoop dependencies and adopt cloud native AWS patterns
  • Enhance and extend existing processing logic using optimized Spark (JavaSpark / PySpark) on Databricks
  • Databricks Native Development: Build and optimize solutions using Databricks features, including Delta Lake, Databricks Workflows for orchestration and Auto scaling and job clusters
  • Design & Solution Engineering: Contribute to low and mid level architecture and design
  • Translate high level architecture into detailed technical designs
  • Define data models, pipeline patterns, and reusable components
  • Ensure solutions are scalable, maintainable, and production ready
  • Performance Optimization & Simplification: Analyze, improve Spark job performance and simplify complex or over engineered pipelines into standardized, efficient patterns
  • Engineering Standards & Best Practices: Follow and contribute to Databricks and Spark engineering standards
  • Fulltime
Read More
Arrow Right

Python Engineering AI Lead-Assistant Vice President

We are seeking a highly motivated and experienced Principal Engineer to join our...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts
  • Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark and Databricks ecosystem
  • Hands-on experience with agentic AI development using YAML, JSON, FAST API or Spring boot, Google ADK, LLM itegrations, including Devin.AI or Github Copilot, and integrating models via platforms like MCP using advanced prompt engineering
  • Proven experience developing and automating microservice integrations to support data-intensive applications
  • Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala
  • Strong SQL skills and experience with various relational databases
  • Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation
  • Excellent communication, collaboration, and problem-solving skills
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable, enterprise-grade AI agents, supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices, PySpark, Kafka and Databricks ecosystem
  • Build and Deploy GEN AI Agents using Googles ADK and Google Flash 2.5+ LLMs to support application automation supports and its deep insights, workflow support with HIL - Human in loop architecture
  • Build and maintain data federation layers for lambda and Data Mesh architectures using tools like Starburst, with a strategy for adopting AI-based use cases (e.g., machine learning, deep learning, NLP) to drive efficiency
  • Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines
  • Integrate and leverage agentic AI tools (e.g., Devin.AI, Github Copilot) and platforms (e.g., MCP) through advanced prompt engineering to enhance development and operational efficiency
  • Ensure data quality, integrity, and security throughout the entire data lifecycle
  • Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets by driving compliance with applicable laws, rules, and regulations
  • Adhere to Policy, apply sound ethical judgment, and escalate, manage, and report control issues with transparency
  • Fulltime
Read More
Arrow Right

Principal Data Genai Platform Engineer - Senior Vice President

Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 12+ years of relevant experience in enterprise application development, data engineering, or AI platform engineering, with a strong track record of leadership in regulated environments
  • 8+ years of experience leading multi-team Agile organizations (20+ engineers), including managing distributed and hybrid AI-assisted teams
  • Advanced expertise in Python, PySpark, and Databricks ecosystem for large-scale data processing and ELT/ETL pipelines
  • Proven experience architecting and implementing enterprise AI/GenAI platforms, including agentic AI frameworks, LLM integrations, and prompt engineering
  • Hands-on experience with AI-assisted development tools such as Devin.AI and GitHub Copilot and integrating them into engineering workflows
  • Strong experience with microservices architecture, APIs, and cloud-native deployment (Kubernetes/OpenShift)
  • Strong experience with event-driven architectures and streaming platforms (Kafka)
  • Deep understanding of data architecture, data mesh, data federation, and regulatory data requirements
  • Exceptional leadership, communication, stakeholder management, and decision-making capabilities
  • Experience with cloud platforms (AWS, Azure, GCP, Databricks) and modern data ecosystems
Job Responsibility
Job Responsibility
  • Lead multiple agile scrum teams comprising ~15+ engineers, including hybrid teams of human engineers and AI-assisted development (Devin.AI, Copilot), ensuring delivery excellence and alignment with business priorities
  • Define and execute the enterprise strategy for Python engineering, AI agent platforms, and full-stack data applications, aligned with Retail and Wealth Risk objectives
  • Serve as the senior architect and technical authority for enterprise-scale AI agents, data engineering pipelines, and microservices-based applications, ensuring scalability, resilience, and security
  • Drive the adoption and operationalization of AI Product Development Lifecycle (AI PDLC), including model governance, evaluation, deployment, monitoring, and compliance with Model Risk Management (MRM)
  • Lead development of high-volume data pipelines and data federation layers using PySpark, Databricks, Kafka, and Data Mesh architecture to support regulatory reporting (CCAR, FDIC) and risk analytics
  • Architect and oversee GenAI agent ecosystems using LLMs (Google ADK, Gemini/Flash), implementing Human-in-the-Loop (HITL) frameworks to ensure explainability, auditability, and compliance
  • Drive AI-augmented software development lifecycle, integrating tools such as Devin.AI, GitHub Copilot, and MCP platforms through advanced prompt engineering and governance guardrails
  • Lead microservices and cloud-native architecture using FastAPI/Spring Boot, Kubernetes/OpenShift, and CI/CD pipelines, ensuring high availability and performance
  • Drive engineering efficiency and standardization by reusing and repurposing enterprise-level frameworks, platforms, and tools, reducing duplication and accelerating delivery across teams
  • Ensure all engineering solutions incorporate data governance and non-functional requirements, including Data Quality (DQ), data lineage, data tracing, and auditability, aligned with enterprise governance processes and regulatory expectations
  • Fulltime
Read More
Arrow Right

Vice President - Technology (Platform Engineer)

Our client's technology team is responsible for creating and continuously improv...
Location
Location
United States , New York
Salary
Salary:
175000.00 - 215000.00 USD / Year
rennerbrown.com Logo
Renner Brown
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Computer Engineering, or related field
  • 8+ years in infrastructure engineering, cloud platform engineering, or data engineering
  • Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID
  • Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting
  • PowerShell for infrastructure tasks
  • Infrastructure-as-Code: Terraform and/or Bicep
  • container orchestration with Docker and Kubernetes
  • Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability
  • RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns
  • Familiarity with LLM application frameworks such as LangChain or Semantic Kernel
Job Responsibility
Job Responsibility
  • AI Platform & Developer Infrastructure: Design, build, and operate the firm's AI platform, enabling developers to build and deploy Python-based AI applications
  • Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls
  • Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring
  • Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm
  • Data Infrastructure & Pipelines: Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs
  • Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications
  • Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB
  • Cloud Infrastructure & DevOps: Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep)
  • Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions
  • Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services
  • Fulltime
Read More
Arrow Right

Vice President - Technology (Data & AI Infrastructure Engineer)

Our client's technology team is responsible for creating and continuously improv...
Location
Location
United States , New York
Salary
Salary:
175000.00 - 215000.00 USD / Year
rennerbrown.com Logo
Renner Brown
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Computer Engineering, or related field (Master's degree is a plus)
  • 8+ years in infrastructure engineering, cloud platform engineering, or data engineering
  • Demonstrated experience building shared platforms or developer services in an enterprise environment
  • Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID
  • Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting
  • PowerShell for infrastructure tasks
  • Infrastructure-as-Code: Terraform and/or Bicep
  • container orchestration with Docker and Kubernetes
  • Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability
  • RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns
Job Responsibility
Job Responsibility
  • Design, build, and operate the firm's AI platform, enabling developers to build and deploy Python-based AI applications
  • Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls
  • Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring
  • Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm
  • Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs
  • Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications
  • Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB
  • Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep)
  • Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions
  • Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services
  • Fulltime
Read More
Arrow Right

Senior Data Software Engineer (Python & PySpark) - Vice President

The Senior Data Software Engineer is a senior level position responsible for est...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field
  • 7+ years of experience in data engineering, with a strong focus on Python and big data technologies
  • Proven expertise in designing and implementing large-scale data processing solutions using PySpark
  • Extensive experience with distributed computing frameworks like Apache Spark
  • Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT principles
  • Proficiency in SQL and experience with various relational and NoSQL databases
  • Experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3, ADLS, Google Cloud Storage, Redshift, Snowflake, BigQuery, Databricks)
  • Familiarity with workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, AWS Step Functions)
  • Experience with version control systems (e.g., Git)
  • Excellent problem-solving, analytical, and communication skills.
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Fulltime
Read More
Arrow Right