Overview
Skills
Job Details
Job Title: Data Architect
Location: Remote
As a Senior Data Architect, you will lead the design, alignment, and advancement of enterprise data architecture. This role emphasizes data transformation, governance, and enrichment. You will play a pivotal role in shaping the data ecosystem that drives organizational growth and innovation.
Key Responsibilities:-
Define and establish the data architecture framework, setting standards and best practices across data modeling, metadata management, security, reference data, and master data.
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Provide strategic guidance on data-related matters including data processing, data lake architecture, integration techniques, and governance.
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Promote and champion the enterprise data strategy among stakeholders, including business units and development teams, through documentation, reviews, and collaboration to support broader business and technology objectives.
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Drive continuous improvement of the data platform, focusing on technology upgrades, cost optimization, and compliance.
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Select and communicate standard architectural approaches, recommend frameworks, and develop technical roadmaps.
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Partner with cross-functional teams-including data engineers, scientists, business analysts, and product teams-to collect requirements and translate business needs into scalable technical solutions.
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5+ years of experience in Data Engineering and Data Architecture.
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Exceptional communication, presentation, and stakeholder engagement skills.
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Strong hands-on expertise in enterprise system architecture, solution/integration design, and technology evaluation.
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Proven track record in developing enterprise data platforms, implementing data strategies, and managing data at scale.
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Deep experience with Azure Data Stack: Azure SQL, Data Factory, Databricks, ADLS, DevOps, Event Hubs, etc.
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Proficiency in one or more programming languages: Python, Java, Scala, or C#.
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Demonstrated experience in architecting both greenfield and brownfield environments across cloud and on-premises.
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Strong background in building and scaling data warehouses, data lakes, or lakehouses.
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Solid understanding of Agile methodologies and DevOps best practices.
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Bachelor's degree in Computer Science, Data Engineering, or a related technical field.
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Experience architecting and implementing Data Mesh architecture.
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Familiarity with infrastructure-as-code and automating data/ML production pipelines.
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Prior exposure to legacy Hadoop ecosystems.
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Experience collaborating closely with Data Science teams.
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Healthcare data experience is a strong plus.