As a Databricks Manager, you will lead the data engineering, architecture and data science teams building and scaling the enterprise data platform for a leading company in the energy sector. Bridge technical delivery and business strategy in a fully remote leadership role.
STRATEGIC DATA PLATFORM | TEAM LEADERSHIP | FULLY REMOTE | LEARNING & GROWTH |
Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply.
ABOUT THE ROLE
We are seeking an experienced Data Manager to lead our data engineering, architecture and data science teams in building and scaling the enterprise data platform on Databricks for a leading energy sector company. In this role, you will oversee the end-to-end lifecycle of our data products, from ingestion and storage to analytics and AI enablement. You will manage a portfolio of cross-functional data projects, ensure strict data governance and quality standards, and drive the adoption of scalable architectures (such as the Medallion architecture) to deliver high-value business insights.
KEY RESPONSIBILITIES
Platform Strategy & Architecture
● Lead the design, implementation and optimization of the enterprise data platform using Databricks, Delta Lake and Apache Iceberg.
● Architect and maintain a scalable Medallion data architecture (Bronze, Silver, Gold layers) to ensure data is clean, reliable and optimized for downstream consumption by BI tools and AI models.
● Guide the migration or integration of legacy data warehouses (e.g., AWS Redshift, Snowflake) into a unified Databricks Lakehouse ecosystem.
Team & Portfolio Leadership
● Manage, mentor and scale a high-performing team of data engineers, data scientists and analysts.
● Oversee a diverse portfolio of concurrent data and AI projects, ensuring delivery on time, within scope and aligned with business objectives.
● Act as the bridge between technical teams and executive stakeholders, translating complex data initiatives into clear business value.
Data Governance & Quality
● Implement and enforce robust data governance, security and access controls using Databricks Unity Catalog.
● Establish enterprise-wide data quality frameworks and Master Data Management (MDM) practices to ensure a single source of truth across the organization.
● Ensure compliance with regional data privacy regulations (e.g., GDPR) within highly regulated enterprise environments.
Advanced Analytics & AI Enablement
● Provide the foundational data layer required for advanced machine learning, Generative AI applications and autonomous agent frameworks.
● Collaborate with AI engineering leads to implement AI observability and monitor model performance in production.
● Drive the rapid prototyping of data products and internal tools using frameworks like Python and Streamlit.
REQUIRED SKILLS & EXPERIENCE
● 8+ years of experience in data engineering, data architecture or data science, with at least 3+ years in a managerial or leadership role overseeing technical teams.
● Deep, hands-on understanding of the Databricks Data Intelligence Platform, Spark and Delta Lake.
● Strong proficiency in SQL and Python.
● Proven experience designing semantic layers and optimizing data pipelines for business intelligence (e.g., Power BI, Tableau).
● Extensive experience with data governance frameworks, MDM and implementing granular access controls (Unity Catalog).
● Track record of successfully managing complex, multi-stakeholder data projects in Agile environments.
NICE TO HAVE
● Experience integrating Databricks with major cloud service providers (AWS, Azure or GCP).
● Familiarity with large language models (LLMs), Agentic AI architectures and deploying GenAI solutions in corporate settings.
● Previous experience migrating enterprise data workloads from traditional data warehouses to a Lakehouse architecture.
EDUCATION
● Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology or a related field.
PREFERRED CERTIFICATIONS
● Databricks Certified Data Engineer Professional.
● PMP or Certified Scrum Master (CSM), a plus for the leadership component.
WORKING MODEL
Fully remote position.
ABOUT COGNIZANT
Cognizant (Nasdaq-100: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. This position supports a leading company in the energy sector; for confidentiality reasons the client's name is not disclosed at this stage of the process.
Equal opportunity. Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by applicable law.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
