Data Architect

2 days ago

Hyderabad, India Tanla Platforms Limited Full time

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. 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. 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). ~ 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). 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. 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. We champion diversity and are committed to creating an inclusive environment for all employees.

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