{"id":4227621,"url":"https://alion.io/job/coffeebeans-consulting-principal-engineer-data-architecture","title":"Principal Engineer - Data Architecture","company":{"id":3808032,"name":"Coffeebeans Consulting","domain":"coffeebeans.io","url":"https://alion.io/company/coffeebeans-consulting","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon 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making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions.\n\nWe specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions, helping clients achieve faster go-to-market and cost efficiency.\n\nWe are looking for a Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led.\n\nKey Responsibilities : \n\nSolution Architecture : \n\n- Engage with clients to understand business goals, technical constraints, and AI/data maturity.\n\n- Translate requirements into scalable solution blueprints across tech stack and infrastructure.\n\n- Expert in microservices and design patterns, data, analytics, AI, and cloud.\n\n- Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.\n\n- Ensure designs meet security, compliance, and governance requirements.\n\nData Architecture & Engineering : \n\n- Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.\n\n- Design robust ETL/ELT pipelines, streaming architectures, and real-time analytics solutions.\n\n- Define data models, metadata management, and master data strategies.\n\n- Implement data governance frameworks (e.g., CDMC, DAMA DMBOK).\n\nAI & MLOps Enablement : \n\n- Integrate ML/Gen AI solutions into the data platform architecture.\n\n- Work with Data Scientists to operationalize AI models using MLOps best practices.\n\n- Evaluate LLM integration, vector databases, and AI agents within enterprise architectures.\n\nLeadership & Delivery : \n\n- Provide technical leadership to engineering teams.\n\n- Review designs, code, and deployment plans for quality and scalability.\n\n- Work closely with client stakeholders, delivery managers, and CTO to ensure success.\n\nRequired Skills & Experience : \n\n- 12+ years in data engineering, data architecture, or solution architecture roles.\n\n- Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).\n\n- Strong knowledge of data modeling, SQL/NoSQL databases, streaming tech (Kafka, Pub/Sub, Kinesis).\n\n- Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.\n\n- Knowledge of data governance, security, and compliance frameworks.\n\n- Familiarity with AI/ML architectures, MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).\n\n- Strong communication and client-facing skills.\nSkills\nData Engineering, Solution Architect, Artificial Intelligence, Databricks, BigQuery, MLOps, Generative AI, LangChain, Snowflake DB, AI 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