JD for a Data Architect - 10+ years of experience
Key Responsibilities
- Design, implement, and maintain enterprise-level data architectures including data warehouses, data lakes, and lakehouses.
- Lead the data engineering efforts, including ETL/ELT processes, data pipelines, and workflow orchestration.
- Develop conceptual, logical, and physical data models for complex business domains.
- Ensure data governance, security, and compliance across all data assets.
- Optimize data solutions for performance, scalability, and cost-efficiency.
- Collaborate with business stakeholders to translate requirements into robust data solutions.
- Evaluate and recommend new technologies, tools, and frameworks for data engineering and analytics.
Required Skills & Expertise
- Strong experience in data engineering, data modeling, and database design.
- Expertise in SQL, Python, Spark, or Scala for data processing.
- Hands-on experience with cloud platforms (Azure, AWS, GCP) and their data services.
- Experience with modern data warehousing/lakehouse technologies (Snowflake, Databricks, Synapse, MS Fabric, etc.).
- Knowledge of ETL/ELT pipelines, data integration, and workflow orchestration.
- Familiarity with big data ecosystems (Hadoop, Hive, Kafka) is a plus.
- Strong understanding of data governance, metadata management, and security standards.
- Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
- Certifications in cloud platforms or data technologies.
- Experience in real-time data processing and analytics.
- Exposure to BI tools such as Power BI, Tableau, or Looker.
(ref:hirist.tech)
