Senior Data Architect

Architect the Future of Enterprise Intelligence

The Senior Data Architectprovides technical leadership across Hilti's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spanstraditional data management(DBMS, data modeling, warehousing, governance) andmodern cloud native/AI data engineering on AWS, includingbronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native Saa Sapplication teams at global scale.

You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases intotarget data architectures, ensuring performance, reliability, security, and cost efficiency at global scale.

What You'll do

Modern Data Platform on One or More Cloud Platforms

• Architect end-to-end pipelines across from raw to polished layers using Cloud native services such asS3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, Event Bridge.
• Define storage/format strategies (e.g.,Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost.
• Implementrow/ column level security, encryption (KMS), secrets management, and fine-grained authorization viaIAM/Lake Formation.

AI/ML & Amazon Bedrock Data Foundations

• Design datasets and feature/knowledgelayers to support
  
  SageMakertraining/inference and Amazon Bedrockapplications (e.g.,Knowledge Bases,Guardrails,Agents, and Invoke Model/Converse orchestration).
• LeadRAGarchitectures (chunking, embeddings, retrieval) usingvector databasessuch as Amazon Open Search Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality.
• Setprompt, context, and token budgetstandards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection).

Tradition Data Architecture & DBMS Excellence

• Provide deep expertise in relational and No
  
  SQL systems:
  
  SQL Server,PostgreSQL,MongoDB, includingschema design, indexing, query/perf tuning, replication, partitioning, and HA/DR.
• Design and governEDW/ Lakehouse/ODSpatterns; integrate  and Angularfrontends via well designed APIs and data contracts.

Integration, Interoperability & Application Alignment

• DefineAPI and data contract standards(REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility
• Orchestrate ingestion fromSAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g.,MSK/Kinesis,DMS,Glue).
• Partner with Solution/Platform Architects to ensuremicroservicesandevent drivendesigns are data efficient and observability ready.

Data Governance, Quality & Observability

• Implement data governance(policies, stewardship, data classification),cataloging(Glue Data Catalog),lineage(Open Lineage compatible), and quality(rules, thresholds, SLAs/SLOs).
• Embedmonitoring & cost governance(Cloud Watch, Cloud Trail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning).

Security, Compliance & Risk

• Enforce privacy and compliance (e.g., GDPR) withdata minimization, tokenization, masking, andaccess controlsacross environments.
• Define secure patterns formodel inputs/outputs(LLM safety),prompt hygiene, andguardrailsto prevent leakage or misuse.

Delivery Leadership & Collaboration

• Produce architecture blueprints, target state designs, andbuild/run guardrails; guide PoCs and pilots to derisk solutions.
• Mentor data engineers, analysts, and junior architects; leaddesign reviews,threat modeling, andcost/performance reviews.
• Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellenceandlearning.

What You'll Bring

• This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of…