Hello,
Greetings for the day.
Please go through the requirement and share me some suitable resume with contact details.
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Role: Sr Data Architect
Location: Snoqualmie, WA (Onsite)
Duration: 6+ Months to start with
Mandatory Areas
Must Have Skills –
Skill 1 – Data Architecture – 7+ years
Skill 2 – Data Pipelines: 7+ years
Skill 3 – Data Lakes: 7+ years
Skill 4 – Data Ingestion – 7 + years
Skill 5 – Relational Databases : 7+ years
Skill 6: ETL/ ELT Tools: 5+ years
Good To have Skills –
Skill 1 – API Based Data Integration
Skill 2 – Data Governance tools
Job description:
We are looking for a senior Data Architect with 7+ years of proven experience in designing, implementing, and optimizing data architecture for complex and large-scale systems. The ideal candidate will own the end-to-end architecture across structured, semi-structured, and unstructured data, and will work closely with engineering, analytics, and business teams to enable scalable data solutions.
This role combines strategic leadership, hands-on technical design, and cross-functional collaboration to deliver modern, secure, and performant data platforms.
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Key Responsibilities
• 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
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Required Skills & Experience
• 7+ years in Data Architecture, including hands-on work with modern data stacks
• Deep experience with:
o Relational databases (PostgreSQL, SQL Server, MySQL, etc.)
o Big Data platforms (Spark, Hadoop, Hive)
o Cloud-native data tools (Azure Synapse, Databricks, Snowflake, AWS Redshift)
o 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)
Thanks & Regards,
Lokesh Kumar
Technical Recruiter
METASIS Information Systems
Cell: 972 430 7075 (Text)
Direct Number:- 469-829-4894
Phone: 469-409-0307 Ext: 351
Fax : 214-291-2507
Email : lokeshk@metasisinfo.com
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