Full Time
Data Architect
Arkhya Tech Inc.
Contract
Mid-Senior level
IT Services and IT Consulting
Hartford, CT
???* / year
Job Description
Mandatory Technical Skills
- Databricks Lakehouse Platform
- Delta Lake, Delta Live Tables (DLT)
- Unity Catalog
- Databricks Workflows
- Auto Loader
- PySpark, Spark SQL, Python
- AWS (S3, IAM, Glue, Redshift, EMR, Lambda)
- Apache Airflow
- CDC & Data Migration Frameworks
- Data Governance & Security
- CI/CD, GitHub, Jenkins
JD:
- Lead enterprise-scale Databricks Lakehouse Architecture design and implementation on AWS.
- Drive large-scale data platform modernisation and cloud transformation initiatives.
- Architect scalable Medallion Architecture (Bronze, Silver, Gold) data platforms.
- Lead migration of legacy EMR, NiFi, Redshift, and ETL workloads to Databricks.
- Design high-performance batch and real-time data processing solutions.
- Build robust ingestion frameworks using Auto Loader, Delta Lake, and Structured Streaming.
- Define enterprise data governance and security standards using Unity Catalog.
- Architect metadata-driven and reusable PySpark-based ETL/ELT frameworks.
- Establish best practices for performance tuning, scalability, and cost optimisation.
- Design and implement data quality, lineage, and observability frameworks.
- Drive adoption of CI/CD, DevOps, Infrastructure as Code, and automation practices.
- Collaborate with business, analytics, and engineering teams to define target-state architectures.
- Conduct architecture reviews and provide technical leadership across multiple projects.
- Mentor architects and senior engineers on Databricks and AWS best practices.
- Design secure and scalable solutions leveraging AWS services (S3, Glue, Athena, Lambda, IAM, Redshift).
- Implement and govern enterprise-wide data access, compliance, and security controls.
- Evaluate and adopt latest Databricks capabilities such as DLT, Lakehouse Federation, Serverless, and MLflow.
- Enable AI/ML, Generative AI, and advanced analytics use cases on the Lakehouse platform.
- Create architecture roadmaps, migration strategies, standards, and governance frameworks.
- Act as the primary technical advisor for customer leadership on data strategy and platform evolution.
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