Data Architect

50 - 60 USD/ godz./ godz.B2BB2B (netto)

Lead / ManagerZdalnie·KrakówFull-time·B2B

#478880·Dodano 4 dni temu·1

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

Snowflake and/or DatabricksAzure and/or AWS

Podsumowanie oferty

Lead the end-to-end design of cloud data platforms for clients, working with client stakeholders and guiding engineering teams through delivery. The role focuses on Snowflake and/or Databricks deployed on Azure and/or AWS.

Wymagania

Requirements:

8+ years of experience in data engineering or data platforms, including 3+ years as a Data or Solution Architect.
Hands-on production experience with Snowflake and/or Databricks, with in-depth experience in at least one.
Strong knowledge of Azure and/or AWS data services, such as ADLS Gen2, Data Factory, Synapse/Fabric, Event Hubs, Purview, Key Vault, S3, Glue, Redshift, Kinesis, Lambda, Lake Formation and IAM.
Expert SQL skills and solid Python or Scala skills; experience with Spark.
Proven experience with data modelling, including dimensional and data vault modelling, and lakehouse design.
Experience with orchestration and transformation tools such as Airflow, dbt, Azure Data Factory or Databricks Workflows.
Working knowledge of infrastructure as code tools (Terraform, Bicep or CloudFormation) and CI/CD for data.
Track record of leading at least one cloud data platform build or migration from design to production.
Client-facing consulting experience, including running workshops, presenting architecture decisions and managing expectations.
English at least B2, written and spoken.

Nice to have:

Certifications: SnowPro Advanced Architect, Databricks Certified Data Engineer Professional, Azure Solutions Architect Expert, AWS Solutions Architect Professional or AWS Data Analytics/Data Engineer.
Experience with streaming architectures, including Kafka, Spark Structured Streaming, Snowpipe Streaming and Delta Live Tables.
Practical experience with data mesh, data products and data contracts.
Experience with MLOps and GenAI data foundations, including feature stores, vector search and RAG pipelines.
Domain experience in banking, insurance, retail, telecom or energy.

Obowiązki

Responsibilities:

Design end-to-end data architectures on Snowflake and/or Databricks, deployed on Azure and/or AWS, covering ingestion, storage, processing, serving and consumption layers.
Define lakehouse and data warehouse patterns, including medallion architecture, data vault and dimensional models, and select patterns for each use case.
Lead migrations from legacy platforms, including on-premises data warehouses, Hadoop, Teradata, Oracle and SQL Server, to the cloud; plan assessments, roadmaps and cutovers.
Set standards for data modelling, pipeline design, CI/CD, infrastructure as code and environment strategy.
Design data governance, security and compliance, including access control, data lineage and cataloguing with Unity Catalog, Snowflake Horizon and Purview.
Optimize platform cost and performance through warehouse sizing, cluster policies and FinOps practices.
Run discovery workshops and architecture reviews with client business and technical stakeholders in English.
Support pre-sales through solution design, effort estimates, technical proposal sections and client presentations.
Mentor data engineers, review their designs and code, and act as the project's technical escalation point.
Prepare data foundations for BI, advanced analytics, ML and GenAI use cases.

N-iX

45 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz