Data Platform Job Description
Data Platform Duties & Responsibilities
To write an effective data platform job description, begin by listing detailed duties, responsibilities and expectations. We have included data platform job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Platform Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Platform
List any licenses or certifications required by the position: AWS, PMP, PMI, GIAC, CISSP, ITIL, SANS, CISA, ML, TDWI
Education for Data Platform
Typically a job would require a certain level of education.
Employers hiring for the data platform job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Technical, Mathematics, Business, Statistics, Information Systems, Graduate, MBA, Education
Skills for Data Platform
Desired skills for data platform include:
Desired experience for data platform includes:
Data Platform Examples
Data Platform Job Description
- Experience in SQL, NOSQL, relational database design and method
- Inspire CxO and Enterprise Architect level on what they could achieve by using the right set of Data Platform and innovative technologies such as Advanced Analyrics, Azure Machine Learning & IoT
- Influence strategic deals through the delivery of high-impact MTC experiences
- Accelerate technical decision within opportunities to accelerate the win of complex solution on our Platform integrated in the environment of the customer
- Establish and maintain strong relationships with virtual account team membersand other -MTC’s, serving as the technology subject-matter expert (SME) within these teams and assigned geography
- Design Data Platform and cross-workload Architecture to accelerate technical decision
- Design cross workload Architecture for our customers
- Orchestrate cross-workload solutions with other technical ressources
- Lead the field technical seller transformation by taking a cloud-first, mobile-first approach wherever possible and advise the customer on how they get to the vision
- Optimizes the stability of the current data warehouse platforms (Greenplum, Oracle) by collaborating with and acting as liaison to other I.T
- Good Linux knowledge, understanding of shell, debugging performance issues
- 3 to 5 years of SQL exposure
- Exposure to JUNIT, Maven is a plus
- Familiarity with modern big data tools and techniques
- Cisco Secure Access Control System
- Balabit Syslog-NG
Data Platform Job Description
- Serves as subject matter expert on the application of data science and machine learning methods to analyze multimodality diagnostic data in support of drug development applications
- Conceives, prototypes and implements algorithms and software tools to solve complex data science problems driven by strategic business needs
- Optimizes algorithms and platforms for efficiency, accuracy, and scalability
- Keeps up-to-date with and assesses technology advances
- Creates intellectual property on related topics
- Experience working AWS Data Stack using S3, EMR, Data Pipeline
- Development experience in NOSQL – HBASE or Cassandra
- Experience in building scalable service using REST/JSON
- Development experience serialization framework Avro or Thrift or Protobuf
- Experience with Github, JIRA & Confluence
- At least 1 year of experience with fault, configuration, accounting, performance, or 1 year of experience security tools managing data network infrastructure
- 1 year of experience implementing fault Event Correlation
- 1 year of experience implementing Closed Loop Incident Processing
- 1 year of experience developing Network Configuration Policy and planning mass scale remediation
- Be part of a team responsible for technical vision, architecture, design and development of platform components of the next generation bureau platform
- Play active role in Communities of Practice for Continuous Delivery and organizing Hackathon(s)
Data Platform Job Description
- Hands on experience with Scala
- Modernize our approaches to ingest, transform, store, and surface meaningful data across the company
- Build fault tolerant and accurate data pipelines
- Design and develop data models
- Create standard processes and operating procedures
- Design and code solutions on and off databases for ensuring application access to enable data driven decisions
- Lead the craftsmanship, availability, resilience, and scalability of your solutions on AWS
- Participate in architecture discussions, influence the roadmap, and take ownership and responsibility over scalability, availability, and performance of the solutions
- Responsibilities backup, performance, maintenance, patching
- Partner with Product Management, Analytics, Program Management and various business stakeholders to instrument telemetry and evangelize adoption of platform capabilities to drive personalization and improve customer experience
- Experience with any existing Cloud Service Provider
- 4+ years of experience in advanced quantitative analysis and M.S
- Expert knowledge of marketing platforms (Google Adwords, Doubleclick, Facebook Ads) a plus
- Experience in building advertising bid optimization algorithms a plus
- Strong execution and organization
- At least 2 years of experience with scripting and query writing
Data Platform Job Description
- Directly supervise a team of 6 developers
- Develop and motivate a results oriented team of developers with the ability to deliver a robust analytic data services platform to support enterprise reporting and analytics
- Ensure appropriate technical resource allocation to meet project and institutional objectives
- Oversee annual performance excellence process for technical resources, ensuring accurate review and appropriate identification of training and professional development opportunities
- Build, grow, and lead a high performance group to develop end to end technical solutions while fostering innovation, leveraging new technologies, and strong customer centered service mindset
- Develop strategies and roadmaps to meet business objectives with existing or emerging technologies in your area
- Responsible for the overall development life cycle of the products and services in the Data Serving and Platforms area
- Provide resource plans, budget tracking and forecasting
- Instill best practices for software development
- Collaborate with internal and external stakeholders on deployment of DMP and tag management system
- 2+ years of experience with advanced analytics technologies
- SAP Business Intelligence Platform, Tableau, QlikView or BI Security User administration certifications
- 5+ years of experience developing with Java and Scala
- 7+ years of experience as an engineering manager, including building and scaling an engineering team
- Demonstrated ability to run an effective engineering development pipeline with high code standards and operational excellence
- Track record of building a good team culture, and supporting team members in doing their best work
Data Platform Job Description
- Develop strategies and action plans for DMP solutions enhancement, expansion of use cases and audience capabilities
- Vendor management of DMP provider and partner with other internal and agency teams to execute programs on time and within budget
- Operationalize the DMP throughout the organization and provide thought leadership among stakeholders and business units to drive innovation and continued support and investment in marketing technology
- Develop and maintain reporting of programs and audience data in partnership with the Integrated Marketing and Client Insights teams
- Manage day to day relationship with DMP (Data Management Platform)
- Manage day to day client relationships focused on data
- Act as resource to demonstrate agency knowledge of digital strategies
- Prepare data strategy presentation and drive integration in media plan focused on audience details
- Integrate with the Media Planning team to make data management a central tool for smarter planning
- Lead weekly media meetings with clients/internal teams and providing insight into audience insights and results
- Track record of product innovation and setting and executing on product strategy
- Extensive experience developing data infrastructure and tools and familiarity with state-of-the-art, large-scale data warehouses and data processing technologies
- Track record of effective collaboration on complex projects involving cross-functional partners with very diverse backgrounds
- Strong background in machine learning and data analysis techniques
- Some background in biology or health sciences a strong positive
- Experience working with the Google Cloud and code base a strong positive