Data Architect Mid-Level
Data Architect Mid-Level
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Job Description
Key Responsibilities:
Design and Develop Data Architecture: Create optimise and maintain conceptual logical and physical data models to support the enterprise data strategy.
Data Strategy and Governance: Define and implement data management strategies including data governance metadata management and data quality controls.
Database and Cloud Technologies: Select appropriate database solutions (SQL NoSQL Data Lakes) and cloud platforms (AWS Azure Google Cloud) to support the organisations data infrastructure.
Data Integration: Develop and manage ETL (Extract Transform Load) processes to ensure data from multiple sources is properly integrated into centralized systems.
Collaboration and Communication: Work closely with business stakeholders data analysts data engineers and clients to understand requirements and deliver scalable data solutions.
Security and Compliance: Ensure data security privacy and compliance with relevant regulations (e.g. GDPR HIPAA) by implementing data encryption and anonymisation techniques.
Documentation: Creation of detailed documentation of data architecture flows and processes for ongoing improvement and knowledge sharing.
#LISW1
#LIHybrid
Qualifications :
Required Qualifications:
Experience:
3 years of experience in data architecture database design or data engineering roles.
Proven experience with database management systems (e.g. Oracle SQL Server PostgreSQL) and data warehousing technologies.
Experience with cloudbased data solutions (AWS Azure GCP).
Familiarity with big data technologies like Hadoop Spark and Kafka.
Technical Skills:
Proficiency in data modelling (ERD normalization) and data warehousing concepts.
Strong understanding of ETL frameworks and tools (e.g. Talend Informatica Apache NiFi).
Knowledge of programming languages such as SQL Python or Java.
Experience with BI tools (e.g. Power BI Tableau) and data visualisation best practices.
Soft Skills:
Excellent problemsolving skills and attention to detail.
Strong communication skills to explain technical concepts to nontechnical stakeholders.
Ability to work in a fastpaced collaborative environment.
Preferred Qualifications:
Familiarity with Agile/Scrum methodologies.
Certifications in data management (e.g. CDMP AWS Certified Data Analytics Google Cloud Data Engineer).
Additional Information :
Life At PA encompasses our peoples experience at PA. Its about how we enrich peoples working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds identities and minds embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity bringing ingenuity to life. We are dedicated to supporting the physical emotional social and financial wellbeing of our people.
Check out some of our extensive benefits:
Health and lifestyle perks accompanying private healthcare for you and your family
25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
Generous company pension scheme
Opportunity to get involved with community and charitybased initiatives
Annual performancebased bonus
PA share ownership
Tax efficient benefits (cycle to work give as you earn)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
