Senior Data Architect
- Mechispike
- 10 - 12 years
- Hyderabad
- 3 months ago
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Job Description
Key Responsibilities:
- Lead the architecture, design, and implementation of data platforms and analytics solutions for industrial environments.
- Define solution architecture including data models, data integration, ingestion pipelines, and storage strategies.
- Design and manage integration workflows using Azure Data Factory, Azure Databricks, Azure Data Lake, and other industrial data platforms.
- Develop robust data models for applications using SQL, Python, and other scripting languages.
- Integrate diverse data sources including SAP data, time-series data, production/operation data, and engineering data.
- Work with REST APIs to fetch, post, or sync external datasets to internal platforms.
- Apply machine learning models, generative AI, and LLMs within industrial data platform environments.
- Drive and ensure adherence to data governance, security, and quality standards across the platform.
- Participate in all Agile ceremonies and ensure timely delivery of artifacts in a Scrum environment.
- Collaborate with internal teams and external stakeholders to define data requirements and ensure seamless solution delivery.
- Mentor and lead small technical teams, evaluate performance, and escalate risks/issues proactively.
- Stay updated with emerging data platform technologies, frameworks, and methodologies, and identify opportunities to integrate innovations into the data ecosystem.
Mandatory Skills & Qualifications:
- 1012+ years of proven experience in Data Architecture, Data Engineering, and Analytics in industrial domains such as CPG and Manufacturing.
- Strong understanding of ISA 95, Industry 4.0 standards, and maintenance strategies.
- Extensive experience with Azure Data Factory, Azure Databricks, Azure Data Lake, and related tools.
- Solid programming and scripting skills using Python, SQL, and optionally Java.
- Proven expertise in data modeling, ETL development, and data pipeline architecture.
- Deep understanding of data ingestion, transformation, visualization, and storage frameworks.
- Proficient in REST API integration for data exchange with third-party systems.
- Hands-on experience in AI/ML model integration, Generative AI, and LLM technologies.
- In-depth knowledge of different industrial data sources including SAP, time-series sensors, production, and engineering data.
- Familiarity with SDLC processes, agile methodologies, and architectural frameworks.
- Understanding of network topology, database server hosting, and industrial communication protocols.
- Strong communication, coordination, and stakeholder management skills.
- Ability to manage small teams, conduct performance reviews, and support project leadership in reporting and delivery.
Nice to Have:
- Certifications in Azure Data Engineering, Data Architecture, or AI/ML frameworks.
- Exposure to DevOps, CI/CD pipelines, and data security/compliance frameworks.
- Experience with data visualization tools (e.g., Power BI, Tableau) and business storytelling.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Mechispike SolutionsLocation(s): Hyderabad+ View Contact
Keyskills: Cloud architecture Data Factory Data modeling and warehousing Data Architect
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