Job Title: Senior Data Architect
Location: Remote
Duration: / Term: 06 months
Job Description:
Experience Desired: 14 Years.
Key required skills
- Define and implement enterprise-level data architecture strategy
- Lead the design and implementation of data pipelines data lakes and data warehouses
- Build architectural patterns for data ingestion transformation governance and cataloging
- Design schemas and optimize performance for analytical and operational workloads
- Define data quality lineage and metadata management frameworks
- Ensure compliance with privacy and security regulations (GDPR CCPA etc.)
- Collaborate with business stakeholders to gather data needs and translate them into scalable solutions
- Provide technical leadership to data engineers and guide best practices across systems
Required Skills & Experience
- 7 years in Data Architecture including hands-on work with modern data stacks
- Deep experience with:
- Relational databases (PostgreSQL SQL Server MySQL etc.)
- Big Data platforms (Spark Hadoop Hive)
- Cloud-native data tools (Azure Synapse Databricks Snowflake AWS Redshift)
- Data lakehouse designs and lake formats (Delta Lake Parquet Avro)
- Strong background in ETL/ELT tools (e.g. Apache Airflow Azure Data Factory dbt)
- Solid understanding of API-based data integration real-time streaming (Kafka Kinesis) and batch pipelines
- Experience with data modeling techniques (3NF star schema data vault etc.)
- Familiar with data governance tools like Collibra Alation or Microsoft Purview
- Proficient in at least one programming language (Python Scala Java)
Key Skills:
Data Lake Snowflake Data Warehousing Data Governance Databricks Python.