Enterprise Data Architect
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Please note this is a salary based 12 month FTC
The Company:
At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff.
Job Summary:
As an Enterprise Data Architect , you will be responsible for defining and implementing a data architecture that aligns with the organisation's strategic objectives. You will ensure that data is managed efficiently across the enterprise, supporting business needs, data flows, and system integrations. You will lead the design and implementation of solutions to ensure data availability, integrity, and security across various platforms, including cloud and on-premises systems.
Key Responsibilities:
1. Enterprise Data Architecture Development:
Design and maintain the enterprise data architecture framework to support business processes, analytics, and data governance.
Ensure the data architecture supports scalability, performance, and reliability for enterprise-level solutions.
Collaborate with business units and IT leaders to develop long-term data strategies that align with business goals.
2. Data Flow Management:
Develop and document data flows across the organisation, ensuring smooth and secure movement of data between systems.
Map data across disparate systems, databases, and platforms (on-premises and cloud) to understand and optimize its flow.
Create and maintain data flow diagrams, data lineage documentation, and data integration plans.
3. Data Integration and Solutions:
Lead the design and implementation of data integration strategies for on-premise, cloud, and hybrid systems.
Collaborate with application architects, database administrators, and business analysts to integrate solutions with third-party applications, ERP systems, and external partners.
Define data models, APIs, and integration points to ensure seamless communication between systems.
Ensure data quality, consistency, and security across all integrated platforms.
4. Technology Stack and Tools:
Define the technology stack for data solutions, including databases, ETL tools, data warehousing platforms, and analytics tools (e.g., Azure Data Factory, Informatica, Talend, etc.).
Ensure the architecture supports cloud platforms like AWS, Azure, and Google Cloud, including data lake and data warehouse implementations.
Provide guidance on the selection of tools for master data management (MDM), data governance, and metadata management.
5. Data Governance and Compliance:
Establish and enforce data governance standards, policies, and procedures.
Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.
Work closely with security and legal teams to protect sensitive data and mitigate risk.
6. Stakeholder Management:
Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to align data architecture with business needs.
Provide leadership in driving data-driven decision-making across the organization.
Present architectural proposals and data strategies to executive leadership and stakeholders.
7. Innovation and Continuous Improvement:
Stay abreast of emerging data technologies, frameworks, and methodologies to drive continuous improvement in data architecture.
Evaluate and recommend new tools and practices to enhance data management capabilities.
Required Skills and Qualifications:
Education : Bachelor's degree in Computer Science, Information Systems, or a related field. Master’s degree preferred.
Experience : 10+ years of experience in data architecture, with 5+ years in an enterprise-level role.
Technologies : Hands-on experience with databases (SQL, NoSQL), ETL tools, big data technologies, and cloud platforms (Azure, AWS, GCP).
Data Modeling : Expertise in data modeling techniques (conceptual, logical, and physical).
Data Governance : Strong knowledge of data governance frameworks and compliance requirements (e.g., GDPR, CCPA).
Integration : Proficient in data integration methodologies (ETL/ELT, APIs, message brokers).
Leadership : Proven ability to lead cross-functional teams and influence stakeholders.
Preferred Qualifications:
Certification in cloud platforms such as Azure Data Architect, AWS Certified Solutions Architect, or similar.
Experience with AI/ML, IoT data streams, or real-time data processing.
Experience in large-scale data migration projects.
Benefits:
Join a rapidly expanding start-up where personal growth is a part of our DNA.
Benefit from a flexible work environment focused on deliverable outcomes.
Receive private medical insurance through Aviva.
Enjoy the benefits of a company pension plan through Nest.
25 days of annual leave plus UK bank holidays.
Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources.
Participate in a generous employee referral program.
A highly collaborative and collegial environment with opportunities for career advancement.
Be encouraged to take bold steps and embrace a mindset of experimentation.
Choose your preferred device, PC or Mac.
Diversity & Inclusion:
Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes:
Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued.
Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all.
Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace.
By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities.
This role at Amber Labs is a 12 Month FTC position , and all employees are required to meet the Baseline Personnel Security Standard (BPSS). Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type.
What Happens Next?
Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.