Data Architect

We are looking for an experienced Data Architect to design and build scalable, secure, and high-performance data platforms. The ideal candidate should have a strong foundation in data engineering, data warehousing, and analytics, along with hands-on experience in cloud environments. 

This role requires someone who understands end-to-end data workflows, from data ingestion to transformation and analytics, and can guide teams in building scalable, efficient, and reliable data solutions.

Key Responsibilities

• Design and implement scalable and reliable data architectures for enterprise data platforms.
  

• Build and optimize data pipelines, data models, and data warehouse solutions.
  

• Lead end-to-end data projects including requirement gathering, design, development, and deployment.
  

• Ensure data quality, consistency, and availability across systems.
  

• Improve performance, scalability, and cost-efficiency of data platforms.
  

• Work closely with business stakeholders to understand data requirements and translate them into technical solutions.
  

• Define and follow best practices for data engineering, data modelling, and data governance.
  

• Collaborate with cross-functional teams including data engineers, analysts, and business teams.
  

• Guide and mentor junior and mid-level data engineers.
  

• Support solution design and provide inputs during pre-sales or client discussions when required.
  

Requirements

Required Skills 

• 7+ years of experience in data engineering, data architecture, or related roles.
  

• Proven experience working as a Data Architect or in a similar capacity.
  

• Strong hands-on experience with SQL, data pipelines, and large-scale data processing.
  

• Good understanding of data modelling, ETL/ELT processes, and data warehousing concepts.
  

• Hands-on experience with at least one cloud platform (AWS / Azure / GCP).
  

• Experience designing and managing scalable data platforms and analytics systems.
  

• Strong problem-solving and analytical skills.
  

• Good communication skills and ability to work with stakeholders across teams.
  

• Experience leading teams or handling end-to-end project delivery is a plus.
  

Good to have

• Experience with Snowflake and/or Databricks.
  

• Basic understanding of distributed data processing (e.g., Spark).
  

• Exposure to data governance concepts like data quality, lineage, and metadata management.
  

• Experience in multi-cloud environments.
  

• Familiarity with ML/AI data workflows (optional).
  

Signs you may be a great fit

• Impact: Play a pivotal role in shaping a rapidly growing venture studio.
  

• Culture: Thrive in a collaborative, innovative environment that values creativity and ownership.
  

• Growth: Access professional development opportunities and mentorship.
  

• Benefits: Competitive salary, health/wellness packages, and flexible work options.