Data Architect

Key Result Areas and Activities:

• Design and implement Lakehouse architectures using Databricks, Delta Lake, and Apache Spark.
• Lead the development of data pipelines, ETL/ELT processes, and data integration strategies.
• Collaborate with business and technical teams to define data architecture standards, governance, and security models.
• Optimize performance and cost-efficiency of Databricks clusters and jobs.
• Provide technical leadership and mentorship to data engineers and developers.
• Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and enterprise systems.
• Evaluate and recommend tools and technologies to enhance the data ecosystem.
• Ensure compliance with data privacy and regulatory requirements.
• Contribute to proposal and presales activities

Work and Technical Experience

Must-have Skills:

• Expertise in data engineering, data architecture, or analytics.
• Hands-on experience on Databricks and Apache Spark.
• Hands-on experience on Snowflake
• Strong proficiency in Python, SQL, and PySpark.
• Deep understanding of Delta Lake, Lakehouse architecture, and data mesh principles.
• Deep understanding of Data Governance and Unity Catalog.
• Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).

Good to have Skills:

• Good understanding of the CI/CD pipeline
• Working experience with GitHub
• Experience in providing data engineering solutions while maintaining balance between architecture requirements, required efforts and customer specific needs in other tools

Qualification:

• Bachelor’s degree in computer science, engineering, or related field
• Demonstrated continued learning through one or more technical certifications or related methods
• Over 10+ years of relevant experience in ETL tools
• Relevant experience in Retail domain

Qualities:

• Proven problem-solving, and troubleshooting abilities, with a high degree of adaptability; well-versed in the latest trends in the data engineering field
• Ability to handle multiple tasks effectively, maintain a professional attitude, and work well in a team
• Excellent interpersonal and communication skills, with a customer-focused approach and keen attention to detail
• Ability to translate technical information into clear, business-friendly language
• Able to work with teams and clients in different time zones and in rotational shift
• Research focused mindset
• Champion efforts to ensure appropriate development best practices and assist with strategy and roadmap development.