Spacewell, a Nemetschek Group company, is a technology and consulting firm, supporting its
clients across the globe to improve the performance of their building portfolios. Our core purpose
is to make buildings work harder for their occupants through unlocking the power of building
information. We are at the forefront of IoT and BIM embedded in Integrated Workplace
Management (IWMS) software, enabling our clients to benefit from rich asset information and
real-time data from building sensors. By leveraging the Internet of Things, our solutions make
buildings smart, drive efficient service delivery and enable our clients to deliver a superior
occupant experience.
YOUR ROLE & RESPONSIBILITIES
Key Responsibilities **
Data Architecture Design
- Design, develop, and maintain scalable, efficient, and secure data architectures.
- Create data models, database schemas, and data flow diagrams to meet business needs.
- Develop a data architecture roadmap that aligns with organizational goals.
- Evaluate and recommend appropriate data management technologies and tools.
- Implement database technologies (relational, NoSQL, data warehouses, etc.) that best meet
the needs of the organization.
- Stay up to date with emerging data technologies and industry trends.
Data Integration and Management
- Design and implement ETL/ELT processes to integrate data from various sources into
centralized data repositories.
- Ensure data quality, integrity, and consistency across all data stores.
- Implement best practices for data lifecycle management, including data retention, archiving,
and purging.
- Monitor the performance of data architecture solutions and make adjustments to improve
efficiency and scalability.
- Optimize databases, queries, and data processing jobs for performance and costeffectiveness.
- Implement data security measures to protect sensitive information and ensure compliance
with relevant regulations.
- Establish data governance frameworks to manage data usage, quality, and access controls.
Collaboration and Leadership
- Work closely with data engineers, product owners and other stakeholders to understand
data requirements and translate them into technical solutions.
- Provide guidance and mentorship to junior data engineers.
- Collaborate with IT and DevOps teams to ensure data solutions are aligned with overall IT
infrastructure.
- Excellent English verbal and written communication skills
SHORTLIST REQUIREMENTS
- Bachelor/master’s degree in computer science, Information Technology, Data Science, or a
related field from Tier 1 institute
- Relevant certifications in data architecture or cloud platforms (e.g., Google Cloud
Professional Data Engineer) are a plus.
- 10+ years of experience in data architecture, data engineering, or a related role.
- Proven experience in designing and implementing complex data architectures.
- Hands-on experience with data modelling, database design, and data warehousing concepts.
- Experience with cloud platforms, with GCP experience being a strong advantage.
- Proficiency in SQL and experience with programming languages such as Python, Java, or
Scala.
- Strong understanding of data integration tools and techniques (ETL/ELT).
- Familiarity with cloud-based data services (e.g., AWS, Azure) with preference given to
candidates with GCP experience.
- Knowledge of data security, governance, and compliance practices.
- Ability to work with both structured and unstructured data.