What are the responsibilities and job description for the Data Architect position at Connective Talent?
Job Overview
We’re looking for a Data Architect to lead the strategy, design, and implementation of enterprise data platforms and AI-driven analytics solutions. In this role, you'll architect high-performance data environments, optimize integrations, and collaborate with stakeholders to deliver scalable infrastructure for business intelligence, real-time reporting, and machine learning initiatives.
Key Responsibilities
- Architect and implement enterprise-wide data solutions across cloud and on-prem environments.
- Design and optimize data lakes, warehouses, and virtualization platforms.
- Lead the development of data models, ETL/ELT pipelines, and real-time streaming architectures.
- Integrate disparate systems using APIs, Kafka, and Spark for robust data flows.
- Develop interactive dashboards and reporting solutions using Tableau.
- Ensure strong data governance, security, and compliance practices are in place.
- Drive adoption of self-service BI and AI/ML initiatives through cross-team collaboration.
- Evaluate new technologies and lead proof-of-concepts to enhance data capabilities.
Required Skills & Experience
- 10 years of experience in data architecture, engineering, and analytics.
- 5 years of hands-on experience with cloud data platforms
- Strong background in SAP data integration.
- Advanced Tableau skills for data modeling and real-time dashboards.
- Experience with Databricks, including Delta Lake, Unity Catalog, and pipeline performance tuning.
- Proficiency in Python, SQL, Spark, and data pipeline development tools.
- Deep knowledge of data modeling, metadata, and master data management.
- Familiarity with data governance, security, and compliance practices.
Ideal Candidate Profile
- Comfortable leading enterprise-wide architecture and data strategy.
- Strong communicator who can bridge the gap between business and technical teams.
- Proactive and able to take initiative in adopting and integrating new technologies.
- Experienced with agile methodologies and modern DevOps practices.
- Holds or is pursuing certifications such as AWS Certified Solutions Architect or Databricks Certified Architect.
- Brings a mix of strong leadership, collaboration skills, and technical expertise.
- Thrives in a fast-paced, high-impact environment.
This role offers the opportunity to shape the future of data and analytics within a forward-thinking organization. If you're a data architect ready to lead strategic cloud, AI, and analytics initiatives in a dynamic and collaborative environment, we’d love to hear from you.
