Senior Data Solutions Engineer

1 week ago

Palakkad, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 3,00,00,000

We are seeking a visionary Data Architect to design, lead, and deliver scalable, future-proof data solutions for global clients.

The ideal candidate will have hands-on expertise in cloud platforms and IaC, as well as strong knowledge of data modeling, SQL/NoSQL databases, and streaming tech.

Key Responsibilities:
  • Engage with clients to understand business goals and technical constraints.
  • Translate requirements into scalable solution blueprints across data, analytics, AI, and cloud.
  • Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
  • Ensure designs meet security, compliance, and governance requirements.
Data Architecture & Engineering:
  • Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
  • Design robust ETL/ELT pipelines, streaming architectures, and real-time analytics solutions.
  • Define data models, metadata management, and master data strategies.
  • Implement data governance frameworks (e.g., CDMC, DAMA DMBOK).
AI & MLOps Enablement:
  • Integrate ML/Gen AI solutions into the data platform architecture.
  • Work with Data Scientists to operationalize AI models using MLOps best practices.
  • Evaluate LLM integration, vector databases, and AI agents within enterprise architectures.
Leadership & Delivery:
  • Provide technical leadership to engineering teams.
  • Review designs, code, and deployment plans for quality and scalability.
  • Work closely with client stakeholders, delivery managers, and CTO to ensure success.
Required Skills & Qualifications:
  • 10+ years in data engineering, data architecture, or solution architecture roles.
  • Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).
  • Strong knowledge of data modeling, SQL/NoSQL databases, streaming tech (Kafka, Pub/Sub, Kinesis).
  • Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
  • Knowledge of data governance, security, and compliance frameworks.
  • Familiarity with AI/ML architectures, MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
  • Strong communication and client-facing skills.
Benefits:
  • Work with cutting-edge AI and data projects across industries.
  • Be part of a fast-growing AI-first consulting company.
  • Flexible, collaborative, and innovation-driven culture.

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