Data Architect

You will design and implement production-grade data engineering, analytics, and visualization solutions. You own the technical strategy for data acquisition, integration, transformation, and pipeline creation.

Responsibilities

• Design high-level architecture blueprints, including data flow diagrams, system interactions, and integration points.
• Lead data warehouse and data lake migrations by assessing current on-premises platforms and defining migration strategies, roadmaps, and risk mitigation plans.
• Develop data strategies covering acquisition, integration, transformation, pipeline creation, and data mart implementation.
• Build data governance and security frameworks to ensure data integrity, quality standards, and regulatory compliance.
• Support sales and presales by explaining technical solutions, use cases, and cost-benefit analyses to customers.

Required Skills

• 12+ years of experience in data analytics, data lakes, data warehousing, and visualization.
• Proven expertise in designing and implementing data warehouse, data lake, and lakehouse solutions.
• Deep understanding of data modeling for OLAP, ETL processes, and BI applications.
• Experience with data migration, modernization, and evaluating on-premises, hybrid, and cloud technology stacks.
• Strong knowledge of data ingestion, data cataloging, data classification, and metadata management.
• Ability to design architectures for data acquisition, transformation, and pipeline creation.
• Knowledge of project delivery methodologies such as Agile and DevOps.
• Domain expertise in at least two of the following: BFSI, Fin-tech, Manufacturing, Travel, or Logistics.
• Relevant certifications from AWS, GCP, Cloudera, Greenplum, Teradata, Power BI, R, or Python.

Preferred Skills

• Proficiency in Python, R, and Power BI for advanced analytics and visualization.
• Technical familiarity with Cloudera, Greenplum, or Teradata environments.