Your key responsibilities
- Interpret and deliver impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps
- Design the structure and layout of data systems, including databases, warehouses, and lakes
- Select and implement database management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures
- Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms
- Design and implement processes for the ETL process from various sources into the organization’s data systems
- Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards
- Manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps
- Simplify the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company
- Lead and participate in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums
- Define and manage standards, guidelines, and processes to ensure data quality
- Work with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions
- Evaluate and recommend emerging technologies for data management, storage, and analytics
- Provide data architecture thought leadership at an enterprise level
- Collaborate closely with the Strategy team to both influence and incorporate organizational strategy
- Continuously educate Information security leaders and stakeholders
- Train peers and staff on data architecture topics
- Continually network with domain experts and other stakeholders across EY’s IT organization
- Provide guidance to project teams and other areas of the organization
- Provide technical leadership, mentorship, and guidance to technical teams, fostering a culture of innovation, collaboration, and continuous learning
- Monitor industry trends, emerging technologies, and competitive landscape, providing insights and recommendations to senior leadership for strategic decision-making
- Ensure compliance with regulatory requirements, data privacy, and security standards, implementing best practices for data governance, risk management, and cybersecurity
- Travel requirements < 10%
Skills and attributes for success
- Experience leading data architecture activities and initiating new ideas
- Confidence in influencing architectural and strategic direction
- Creative, innovative thinking style
- Strong ability in programming languages such as Java, Python, and C/C++
- Ability in data science languages/tools such as SQL, R, SAS, or Excel
- Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks)
- Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
- Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques
- Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture
- Ability to assess traditional and modern data architecture components based on business needs
- Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau
- Ability to regularly learn and adopt new technology, especially in the ML/AI realm
- Strong analytical and problem-solving skills
- Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
- Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders
- Ability to guide solution design and architecture to meet business needs
To qualify for the role, you must have
- A bachelor’s degree in computer science, data science, engineering, or related field
- Experience leading projects involving data warehousing, data modeling, and data analysis
- Design experience in Azure Databricks, PySpark, and Power BI/Tableau
- 12+ years of experience in the Information Technology field
- 5+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives
- 3+ years working in a global enterprise
Ideally, you’ll also have
- Security certification such as CISSP or CISM
- Well versed in common Information Security practices and the CISSP domains
What we look for
- Passion for innovation and making a difference
- Strong soft skills, ability to understand and integrate cultural diversity and to work with cross-cultural and cross-organizational teams
- Deep technical acumen and critical thinking skills demonstrating analytical and systematic approach to problem solving
- Experience working in a global virtual environment
- Excellent written & verbal communication skills, including preparation & delivery of presentations
- Good judgment, tact, and decision-making for delivering practical solutions
- Ability to deal with ambiguity and change, and exercise appropriate time management to meet objectives
- Ability to collaborate with team members and executive stakeholders as well as work autonomously
Job Type: Contract
Contract length: 6 months
Pay: 1,200.00zł - 1,400.00zł per day
Application Question(s):
Experience:
- cyber security: 5 years (Preferred)
- Data Scientist: 5 years (Preferred)
- ETL: 4 years (Preferred)
- java: 4 years (Preferred)
- IT: 10 years (Preferred)
- enterprise data warehouse: 5 years (Preferred)