Data Architect for AI-Driven Marketing Solutions

3 days ago

bangalore, India beBeeDataEngineer Full time

AI-Powered Marketing InnovatorWe're seeking a seasoned data engineer to design and implement cutting-edge data architectures for our next-generation marketing personalization platform. This is a unique opportunity to leverage your expertise in data engineering to architect scalable, real-time data pipelines that power AI-driven marketing campaigns.As a key member of our team, you'll collaborate with data scientists and ML engineers to develop innovative solutions that drive business growth. With a focus on high-performance data processing, data governance, and quality optimization, you'll play a critical role in shaping the future of AI-driven marketing.Key ResponsibilitiesData Architecture & Infrastructure (40%)Design and implement robust, multi-database systems (MongoDB, Redis, Milvus, Neo4j, BigQuery)Build scalable, real-time data pipelines and ETL/ELT workflowsImplement data governance, quality, and high-throughput optimization strategiesVector & Graph Systems (25%)Optimize Milvus collections for semantic search applicationsDesign Neo4j schemas for customer journey mapping and relationship analysisDevelop hybrid search algorithms (vector + graph + text) with performance tuningML Data Infrastructure (20%)Build data pipelines for large-scale LLM fine-tuning and GNN trainingManage data versioning, lineage, and A/B testing systemsImplement real-time feature computation for contextual modelsAnalytics & Monitoring (15%)Create BigQuery schemas and real-time analytics dashboardsImplement observability tools (Prometheus, Grafana) and anomaly detectionOptimize data costs across cloud environmentsTech StackDatabases: MongoDB, Redis, Milvus, Neo4j, BigQueryProcessing: Airflow/Prefect, Pandas/Polars, dbt, SparkML Pipeline: vLLM, MLflow, Sentence Transformers, PyTorch, TensorFlowCloud & Infra: GCP, Docker, Kubernetes, Terraform, GitHub ActionsLanguages: Python (3.10+), SQL, BashRequirementsMust-Have:5+ years of experience in data engineering for production systemsAdvanced expertise in Python and SQL programming languagesExperience with 3+ database types (SQL, NoSQL, Vector, Graph)Proven ability to build high-scale data pipelines (>1M records/day)Strong data modeling, validation, and optimization skillsExperience with cloud data warehouses (BigQuery, Redshift, or Snowflake)Preferred:Experience with Milvus, Pinecone, or WeaviateGraph databases (Neo4j, Neptune) and embedding-based searchML/Feature store experienceBackground in marketing technology or CDPsBenefitsHigh ownership and real product impactCollaborative work environment with experienced professionalsClear growth path to Senior, Lead, or Principal rolesWhy Join UsContribute to groundbreaking AI-powered marketing innovationsShape the future of data-driven decision-makingEnjoy a dynamic, challenging work environment

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