Note: The job is a remote job and is open to candidates in USA. Arkhya Tech. Inc. is seeking a Senior Data Engineering Lead to lead an enterprise Data Foundation and Platform Modernization initiative. The role focuses on designing Databricks Lakehouse platforms, modernizing legacy data ecosystems, architecting SCM data models, establishing data governance standards, and leading distributed engineering teams and enterprise transformation programs.
Responsibilities
- Lead the design and implementation of modern Databricks Lakehouse platforms
- Drive migration from legacy data platforms to scalable cloud-native ecosystems
- Architect and govern SCM Unified Data Models (UDM) across ingestion, transformation, semantic, and consumption layers
- Strong experience with Bronze, Silver, Gold & Semantic layers using Medallion Architecture
- Expertise in Delta Lake, Unity Catalog, DLT, Databricks SQL & PySpark
- Define enterprise standards for data architecture, governance, quality, security, lineage, and metadata
- Design scalable data models, data warehouses, and semantic layers
- Lead large-scale enterprise data transformation and modernization programs
- Manage and mentor globally distributed onsite/offshore engineering teams
- Partner with business leaders, product owners, and senior technical stakeholders
- Provide architectural leadership and communicate strategy, risks, and recommendations to executives
Skills
- 12+ years of experience in Data Engineering, Data Architecture, or Data Platform Modernization
- Strong hands-on expertise with the Databricks ecosystem
- Proven experience implementing enterprise-scale Databricks Lakehouse solutions
- Strong understanding of Enterprise Data Architecture, Data Modeling & Data Warehousing
- Deep knowledge of Data Governance, Data Quality, Metadata Management, Data Lineage, and Security
- Experience designing and implementing Medallion Architecture
- Strong consulting, client-facing, leadership, and stakeholder management skills
- Experience managing complex technology programs and distributed teams
- SCM domain and Unified Data Model experience is highly preferred
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