Data Architect

3 weeks ago

Hyderabad, India Tanla Platforms Limited Full time

Role Overview: 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. Key Responsibilities: - 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. Required Skills: - 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). Preferred Qualifications: - 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. Why join us? - 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. Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees.

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