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Data Architect – B2B SaaS Job Opening In Delhi – Now Hiring Trispoke managed services


Job description

<p style="margin-bottom:11px"><b>Job Title: Data Architect B2B SaaS</b></p> <p style="margin-bottom:11px"><b>Location:</b> Delhi, India<br /> <b>Compensation:</b> 83 LPA 110 LPA (Based on Experience)<br /> <b>Company Type:</b> Well-funded B2B SaaS Product Organization<br /> <b>Employment Type:</b> Full-time | On-site</p> <p style="margin-bottom:11px"> </p> <p style="margin-bottom:11px"><b>About the Role</b></p> <p style="margin-bottom:11px">We are looking for an accomplished <b>Data Architect</b> to lead and scale our data infrastructure, empowering high-performance analytics and product innovation across a fast-growing SaaS environment.

The ideal candidate will bring deep technical expertise in <b>data engineering, backend architecture, and cloud platforms</b>, along with proven experience in <b>leading data engineering teams</b> within high-growth product companies.</p> <p style="margin-bottom:11px"> </p> <p style="margin-bottom:11px"><b> Key Responsibilities</b></p> <ul> <li style="margin-bottom:11px">Lead and mentor a team of <b>Data Engineers</b>, fostering technical excellence and growth.</li> <li style="margin-bottom:11px">Architect and optimize <b>scalable, reliable, and cost-efficient data infrastructure</b>.</li> <li style="margin-bottom:11px">Design and enforce <b>data governance</b>, security, and compliance best practices (GDPR, SOC2, etc.).</li> <li style="margin-bottom:11px">Collaborate cross-functionally to define and execute a robust <b>data roadmap</b>.</li> <li style="margin-bottom:11px">Build and maintain high-performance <b>ETL and data processing pipelines</b> using Big Data frameworks.</li> <li style="margin-bottom:11px">Partner with Product and Engineering teams to enable real-time analytics and insights.</li> <li style="margin-bottom:11px">Drive technical innovation and continuous improvement in data architecture and systems.</li> </ul> <p style="margin-bottom:11px"> </p> <p style="margin-bottom:11px"><b> Ideal Candidate Profile</b></p> <ul> <li style="margin-bottom:11px"><b>10 12+ years</b> of experience in software/data engineering, with <b>3+ years in leadership roles</b>.</li> <li style="margin-bottom:11px">Proven experience in <b>large-scale, data-heavy product companies</b>.</li> <li style="margin-bottom:11px">Hands-on development experience in <b>Java (preferred), Python, Node.JS, or GoLang</b>.</li> <li style="margin-bottom:11px">Expertise in <b>big data ecosystems</b> Spark, Hadoop, Kafka, Hive, Airflow, Presto, HDFS, YARN, etc.</li> <li style="margin-bottom:11px">Strong understanding of <b>cloud platforms</b> (AWS, GCP, or Azure) and <b>data warehousing</b> (Snowflake, Redshift, BigQuery).</li> <li style="margin-bottom:11px">Proficient in <b>HLD/LLD design</b>, scalable system architecture, and design patterns (Spring Boot / Google Guice).</li> <li style="margin-bottom:11px">Strong grasp of <b>SQL, Python, Scala</b>, and distributed data systems.</li> <li style="margin-bottom:11px">Experience in <b>NoSQL databases</b> (Redis, Cassandra, MongoDB, TiDB).</li> <li style="margin-bottom:11px">Familiarity with <b>DevOps and automation tools</b> (Docker, Kubernetes, Jenkins, Grafana, Ansible).</li> <li style="margin-bottom:11px">Exceptional communication, leadership, and stakeholder management skills.</li> </ul> <p style="margin-bottom:11px"> </p> <p style="margin-bottom:11px"><b>Preferred Qualifications</b></p> <ul> <li style="margin-bottom:11px">Experience in <b>machine learning infrastructure or MLOps</b>.</li> <li style="margin-bottom:11px">Exposure to <b>real-time data analytics and streaming systems</b>.</li> <li style="margin-bottom:11px">Tier-1 educational background (IITs preferred).</li> <li style="margin-bottom:11px">Prior experience <b>building data systems from 0 1</b> in startups or high-scale SaaS environments.</li> </ul> <p style="margin-bottom:11px"> </p> <p style="margin-bottom:11px"><b> Preferred Companies</b></p> <p style="margin-bottom:11px">Hevo Data | Mixpanel | Segment | MoEngage | WebEngage | Netcore Cloud | RudderStack | CleverTap | Actyv.ai | Zarget | Vizury</p> <p style="margin-bottom:11px">#DataArchitect #DataEngineering #BigData #SaaSJobs #TechLeadership #CloudArchitecture #AWS #GCP #Azure #Spark #Kafka #Hadoop #DataGovernance #Snowflake #Redshift #BigQuery #EngineeringManager #JavaDeveloper #PythonDeveloper #NodeJS #TechJobsIndia #DelhiJobs #NowHiring #LeadDataEngineer #ProductCompany</p>

Required Skill Profession

Computer Occupations


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The average salary range for a varies, but the pay scale is rated "Standard" in Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Architect – B2B SaaS typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Trispoke managed services interview tips for Data Architect – B2B SaaS

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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