Data Architect

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We are seeking an experienced Data Architect to design and govern Tanla’s enterprise-wide data ecosystem. The ideal candidate will bring deep expertise in enterprise data modeling, master data management (MDM), and telecom data architectures to build a unified, compliant, and scalable data infrastructure. You will play a strategic role in shaping the architecture for data lakes, warehouses, and real-time pipelines, ensuring data integrity, governance, and adherence to industry standards like GDPR and TRAI.

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• Lead the architecture, design, and implementation of scalable enterprise data platforms (data lakes, data warehouses, and real-time pipelines).
• Define and manage enterprise data models, ensuring consistency across systems and domains.
• Implement and maintain Master Data Management (MDM) frameworks for unified and accurate business data.
• Integrate and optimize telecom data sources — including OSS, BSS, network telemetry, CDR, and subscriber data.
• Establish and enforce data governance, metadata management, and security frameworks.
• Ensure compliance with GDPR, TRAI, and other regulatory standards related to data privacy and retention.
• Collaborate with cross-functional teams — product, engineering, analytics, and security — to align data strategy with business goals.
• Evaluate and recommend distributed database technologies to support high-volume, low-latency use cases.

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• Bachelor’s or Master’s in Computer Science, Data Management, or Information Systems.
• Experience leading large-scale data modernization or migration initiatives.
• Exposure to AI/ML data pipelines and data observability tools.
• Strong communication and leadership skills to drive data strategy across multiple business units.

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• 10–15 years of experience in data architecture, data engineering, or related domains.
• Proven expertise in enterprise data modeling and MDM implementation.
• Strong understanding of telecom data ecosystems (OSS, BSS, network telemetry, CDR, subscriber data).
• Experience designing and deploying data lakes and warehouses on cloud platforms (AWS, GCP, Azure).
• Knowledge of real-time streaming architectures (Kafka, Flink, Spark Streaming).
• Expertise in distributed databases (Cassandra, HBase, Bigtable, Snowflake, etc.).
• Hands-on knowledge of data governance, metadata management, and lineage tools.
• Familiarity with data security and compliance (GDPR, TRAI, ISO 27001).

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• Impactful Work: Solve meaningful real-life business problems by building cutting-edge products.
• Tremendous Growth Opportunities: Work in a fast-growing CPaaS and product-driven culture with scope for continuous professional development.
• Innovative Environment: Be part of a world-class team that loves solving tough problems and values innovation.

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Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees

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