About this opportunity
Tiger Analytics lists this Technology Partner - Databricks opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
Key Responsibilities
Liaise with data and technology leaders across strategic client organizations to provide forward-looking advisory services and thought leadership
Lead brown-bag sessions, workshops, and educational forums to share relevant data, AI, cloud, and platform perspectives with core clients
Conduct proactive reviews of client data platforms, operating models, and technology practices; provide improvement recommendations, solution approaches, and transformation roadmaps
Provide technology leadership for Data & Insights transformation agendas spanning technology, organization, operating processes, and governance
Help recruit and assess key technology talent for critical client-facing roles
Create detailed, scalable technology solutions for first-of-a-kind, complex, and enterprise-wide initiatives
Pre-Sales and Business Development
Present Tiger's Data & Insights capabilities to prospective clients and executive stakeholders
Develop solution architectures, proposals, statements of work, and responses to client requirements
Partner with business and delivery leaders to shape data, analytics, AI/ML, cloud, and modernization opportunities
Data & Insights Practice Leadership
Mentor engineering, data, architecture, and analytics talent at multiple career levels
Manage and guide architecture resources across client engagements and internal initiatives
Develop thought-leadership content for go-to-market offerings, including reference architectures, methods, accelerators, and delivery practices
Participate in interviews and help evolve hiring, assessment, and talent-development practices
Partner with offshore counterparts on solution design, training, delivery quality, and overall capability development
Requirements
10+ years of experience developing solution architectures for large enterprises and complex transformation programs
Databricks expertise is a core requirement, including hands-on and architectural experience designing, implementing, and modernizing enterprise data and AI platforms using the Databricks Lakehouse Platform
Demonstrated experience with Databricks capabilities such as Delta Lake, Apache Spark, Databricks SQL, Unity Catalog, Workflows, notebooks, data pipelines, governance, security, and platform administration
Experience building and governing data engineering, analytics, machine learning, and AI workloads on Databricks, including batch processing, real-time streaming, and scalable data pipeline architectures
Experience integrating Databricks with cloud services, particularly within Azure and Azure Databricks environments; experience with AWS Databricks or Databricks on Google Cloud is a plus
Strong knowledge of traditional and modern data platforms, including NoSQL, MPP, columnar databases, big data ecosystems, cloud data warehouses, and cloud-native data platforms
Experience with cloud data platform services across Azure, including Azure Data Lake Storage, Azure Data Factory, Synapse Analytics, Event Hubs, and related integration, security, and monitoring services
Experience with data-processing tools and frameworks covering batch ETL/ELT, real-time streaming, event-driven architectures, IoT data pipelines, and distributed computing
Preferred Qualifications
Databricks certification, such as Databricks Certified Data Engineer/Databricks Certified Professional/ Data Engineer/Databricks Certified Machine Learning Professional/Databricks Certified Data Analyst
Experience leading enterprise Databricks migrations or modernization programs from legacy Hadoop, on-premises data warehouses, ETL platforms, or cloud data platforms
Experience defining Lakehouse operating models, platform standards, reusable frameworks, governance patterns, and FinOps practices
Strong experience working with senior client stakeholders, including CIOs, CTOs, CDOs, Heads of Data, Analytics, Engineering, and AI/ML
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.
Disclaimer
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.