We're looking for an enterprise data architect to set the strategy for Pipedrive's data architecture and provide technical architecture direction for delivery of the target state. In this role, you'll be an integral member of the enterprise architecture team and will be responsible for the design and implementation of the enterprise wide data strategy, ensuring the strategy supports the current and future business needs.
You'll apply your knowledge of good architecture practice, architecture documentation and data technologies to comprehensively capture Pipedrives current state holistic data architecture and oversee target state design and implementation.
The role will involve collaborating with Business,Technology, engineering and internal and external IT stakeholders at all levels to ensure the enterprise data strategy and associated implementation is adding value to the business. If this sounds like something for you, get in touch, we’d love to meet you!
Your new adventure:
- Set the strategy for data architecture to support the Business and IT strategies and maintaining the data architecture principles
- Define target, transition data architectures and roadmap to realise
- Create the data architecture documents and templates for change initiatives and supporting solution architects to complete
- Build a framework of principles to ensure data integrity across the business
- Lead data architecture forums and provide subject matter expert input to architecture decisions
- Document the detailed holistic physical data architecture for both current and target state
- Manage holistic roadmap of architecture change initiatives across Pipedrive, coordinating requirements across different initiatives
- Provide technical expertise for change initiatives, working with engineering teams and business product owners
- Define Data Governance framework and work in establishing practises for data governance, quality, metadata management, mastering and security
- Develop and maintain data management and governance standards, policies, and best practices, including metadata management, data quality management, master data management, data lineage, and other related areas.
- Be a key stakeholder and advisor in all strategic data initiatives and ensure alignment to the enterprise wide data strategy
- Build and maintain appropriate Enterprise Architecture artifacts including; Entity Relationship Models, Data dictionary, taxonomy to aid data observability
- Provide technical oversight to Engineers in creating business driven solutions adhering to the enterprise architecture and data governance standards
- Be an advocate of data security principles and ensure appropriate security and compliance practices are embedded in any data strategy
- Develop key performance measures for data integration and quality
- Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture
Does this sound like you:
- Experience of creating and implementing data strategies that align with business objectives
- Extensive experience in architecting and implementing enterprise data warehouse, Master data Management, data integration, BI & analytics, content management and data management platforms
- A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Data Lake, other analytics products
- Data management and reporting technologies, predictive analytics, data visualization and unstructured data
- Experience of mapping key enterprise data entities to business capabilities and applications
- Established experience delivering information management solutions to large numbers of end users
- A strong knowledge of horizontal data lineage concepts and implementations
- Exposure to a variety of programming languages and advanced technologies associated with big data, AI, IoT and the cloud
- Extensive experience of developing progressive information management solutions and end-to-end development life-cycle support and SDLC processes
- Excellent problem solving and data modelling skills (logical, physical, semantic and integration models) including normalisation, OLAP / OLTP principles and entity relationship analysis
- Experience of leading a team including architects and subject matter experts
- Excellent communication and presentational skills
- The ability to work in a team
Why Pipedrive:
- A value-driven work environment where people come first
- A lively bunch of colleagues from over 50 different countries, with offices in Lisbon, Tallinn, Tartu, Prague, London, Dublin, New York, Florida, Riga and Berlin
- A team serious about getting things done while not taking ourselves too seriously
- A world-class working environment full of the usual nice perks and some more
- Freedom to execute your ideas with a passionate and motivated team supporting you
- Flexible working hours as long as you’re there for your team members
- Lots of room for personal and career development, with internal and external training opportunities
- Competitive salary including all the benefits you’d expect from a great employer (annual bonus system, health insurance, meal allowance, flexible benefits – you can choose whether to use the credit on parking, a public transport card, technology, etc.)
Pipedrive is an equal-opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity, or veteran status.
Based on this role's access to certain data, Pipedrive will be conducting a pre-employment background investigation in conjunction with your application for employment with our company. Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment.
#LI-Hybrid #LI-LR2
If this is something for you, send us your resume (in English) or a link to your LinkedIn profile and please add why we should pay extra attention to your application.