Hiring Data Architect with Datamatics - Mumbai/Bangalore

Greetings!!!

Data Architect

Position:

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Job Overview:

We are seeking a Data Architect to lead end-to-end solutioning for enterprise data platforms while driving strategy, architecture, and innovation within our Data Center of Excellence (COE). This role requires deep expertise in Azure, Databricks, SQL, and Python, alongside strong pre-sales and advisory capabilities. The architect will serve as a trusted advisor, mentoring and guiding delivery teams, and defining scalable data strategies that align with business objectives.

Key Responsibilities:

Core Engineering Data Architecture & Solutioning

- Design and implement enterprise-wide data architectures, ensuring scalability, security, and performance.

- Lead end-to-end data solutioning, covering ingestion, transformation, governance, analytics, and visualization.

- Architect high-performance data pipelines leveraging Azure Data Factory, Databricks, SQL, and Python.

- Establish data governance frameworks, integrating Delta Lake, Azure Purview, and metadata management best practices.

- Optimize data models, indexing strategies, and high-volume query processing.

- Oversee data security, access controls, and compliance policies within cloud environments.

- Mentor engineering teams, guiding best practices in data architecture, pipeline development, and optimization.

Data COE & Thought Leadership

- Define data architecture strategies, frameworks, and reusable assets for the Data COE.

- Drive best practices, standards, and innovation across data engineering and analytics teams.

- Act as a subject matter expert, shaping data strategy, scalability models, and governance frameworks.

- Lead data modernization efforts, advising on cloud migration, system optimization, and future-proofing architectures.

- Deliver technical mentorship, ensuring teams adopt cutting-edge data engineering techniques.

- Represent the Data COE in industry discussions, internal training, and thought leadership sessions.

Pre-Sales & Solution Advisory

- Engage in pre-sales consulting, defining enterprise data strategies for prospects and existing customers.

- Craft solution designs, architecture blueprints, and contribute to proof-of-concept (PoC) implementations.

- Partner with sales and consulting teams to translate client needs into scalable data solutions.

- Provide strategic guidance on Azure, Databricks, and cloud adoption roadmaps.

- Present technical proposals and recommendations to executive stakeholders and customers.

- Stay ahead of emerging cloud data trends to enhance solution offerings.

Required Skills & Qualifications:

- 15+ years of experience in data architecture, engineering, and cloud data solutions.

- Proven expertise in Azure, Databricks, SQL, and Python as primary technologies.

- Proficiency in other relevant cloud and data engineering tools based on business needs.

- Deep knowledge of data governance, metadata management, and security policies.

- Strong pre-sales, consulting, and solution advisory experience in enterprise data platforms.

- Advanced skills in SQL optimization, data pipeline architecture, and high-scale analytics.

- Leadership experience in mentoring teams, defining best practices, and driving thought leadership.

- Expertise in Delta Lake, Azure Purview, and scalable data architectures.

- Strong stakeholder management skills across technical and business domains.

Preferred but Not Mandatory:

- Familiarity with Microsoft Fabric and Power BI data accessibility techniques.

- Hands-on experience with CI/CD for data pipelines, DevOps, and version control practices.

Additional Notes:

- The technologies listed above are primary but indicative.

- The candidate should have the flexibility to work with additional tools and platforms based on business needs.