
Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure
Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.
Employment: Full‑time
About Us
We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).
Role Summary
Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.
What You’ll Do
• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.
• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.
• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.
• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.
• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.
• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.
• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.
• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.
Must‑Have Qualifications
• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).
• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.
• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.
• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.
• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.
• Pragmatic performance engineering mindset; excellent communication and documentation.
Nice‑to‑Have
• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.
• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.
• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).
• Exposure to Go/Java for stream processors/consumers.
• Lakehouse formats (Delta/Iceberg/Hudi).

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Location: Hyderabad (On-Site)
About Us:
Oraczen builds production-grade Agentic AI software that helps enterprises buy, make, and sell better. Our platform connects enterprise systems, understands operational data, and converts it into decision intelligence and action.
We deliver two primary product lines:
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Auron — Customer engagement and revenue intelligence using voice-based AI agents
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Pipeline Generation:
Identify accounts where Oraczen aligns with AWS account plans. Source and qualify opportunities through AWS sellers.
Drive introductions, meetings, and joint customer engagements.
Enable AWS teams to confidently position Oraczen solutions.
Measure success based on opportunities created and pipeline generated.
Co-Sell Execution:
Register and manage opportunities in AWS ACE.
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Maintain account mapping and track partner-sourced pipeline.
Build repeatable co-sell playbooks and engagement processes.
Partner Enablement:
Educate AWS teams on Oraczen use cases:
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• Sales and service intelligence
• Develop clear messaging for AWS field teams.
• Conduct enablement sessions and partner workshops.
Marketplace & Programs:
Drive customer procurement through AWS Marketplace.Manage AWS programs and incentives including:
• ISV Accelerate
• Co-sell programs
• Funded POCs
• Industry initiatives
• Support enterprise deal acceleration through AWS funding mechanisms.
Qualifications and Skills:
Bachelor’s degree in Business, Technology, or related field. 5–10 years experience in one or more of the following: '
• Cloud alliances
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• Enterprise software sales
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Strong understanding of enterprise SaaS, data platforms, or AI solutions.
Ability to influence cross-organization stakeholders without authority. Excellent communication and executive engagement skills.
Experience working with enterprise customers and account teams. Strong organizational skills with ability to manage multiple deals simultaneously.
Self-driven mindset suited for fast-paced startup environments.
Why Join Us?
Direct impact on pipeline and growth through a strategic hyperscaler channel.
Opportunity to shape Oraczen’s global partner go-to-market motion. High visibility role with leadership and revenue ownership.
Work on real enterprise AI deployments across industries.
Belonging at Oraczen:
We’re building more than just innovative technology — we’re building a culture where people from all backgrounds feel welcomed, valued, and empowered to thrive. Our strength lies in diverse perspectives, and we are committed to cultivating an inclusive environment where everyone can do their best work.
We evaluate applicants based on talent and potential, not background or identity. We welcome candidates of all races, ethnicities, genders, orientations, abilities, and experiences
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