Data Architect (Azure)

Reposted 10 Days Ago
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Hiring Remotely in Buenos Aires, Ciudad Autónoma de Buenos Aires
Remote
Senior level
Design
The Role
As a Data Architect, you'll design comprehensive data solutions in cloud platforms, lead migrations, manage data projects, and provide technical guidance to ensure alignment with business goals.
Summary Generated by Built In
Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.

Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.



As a Data Architect, you will be at the forefront of designing and architecting comprehensive data solutions across multiple platforms aligned with client needs and objectives.

Role & Responsibilities:

  • Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the soltuion. 
  • Design and implement Virtual Cloud solutions including virtual network and management of network routings and subnets. 
  • Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration. Experience with integrating data across disparate systems using APIs and data integration tools 
  • Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensión modelling (Star and/or Snowflake schemas), and other relevant design patterns. 
  • Manage one or more Data projects, owning the end-to-end execution and owning responsibilty of the outcomes  
  • Lead cross-functional teams to deliver on client goals, providing technical guidance and ensuring alignment with best practices. 
  • Engage with clients and stakeholders to understand business goals, provide technical expertise, and deliver tailored solutions. 
  • Ensure all designed solutions meet the highest standards of quality, performance cost-effectiveness, and access policy management. 
  • Stay updated with emerging industry trends and technologies, integrating them into solutions to provide added value to clients. 

Hard Skills - Must have:

  • Advanced or expert-level experience with one or more Database technologies (e.g. SQL Server) and modern data warehousing solutions (e.g., Snowflake, Databricks, Redshift, BigQuery). 
  • Experience with integrating data across disparate systems using APIs and data integration toolsProficiency in industry leading data movement and transformation tolos such as Snaplogic, dbt, Matillion, Fivetran, Azure Data Factory, AWS Glue  
  • Expertise in advanced analytics, including predictive modeling and statistical analysis. 
  • Experience with BI tools (e.g., Tableau, Power BI, Looker) for data visualization and data análisis tolos (e.g. Python, R) for decision-making.  
  • Familiarity with DevOps practices for data (e.g., DataOps) and automation tools (e.g., Jenkins, Terraform) to streamline data workflows. 
  • Familiarity with Agile/Scrum methodologies. 

Soft Skills / Business Specific Skills:

  • Strong leadership skills with experience managing data teams, including data engineers and analysts 
  • Sociable and able to build positive relationships across all levels of an organization. 
  • Ability to communicate effectively with clients, leadership, and executive teams. 
  • Experience working with distributed teams and clients. 

Other Preferred Skills (Bonus points):

  • Understanding of data governance frameworks and best practices. 
  • Experience building and deploying ML models using ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn). 
  • Familiarity with cloud-based AI/ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML). 
  • Experience with Generative AI models  and applications, and understanding of ethical implications and bias mitigation strategies in Generative AI. 

Top Skills

Aws Glue
Azure
Azure Data Factory
BigQuery
Databricks
Dbt
Fivetran
Jenkins
Looker
Matillion
Power BI
Python
R
Redshift
Snaplogic
Snowflake
SQL Server
Tableau
Terraform
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The Company
HQ: Dallas, Texas
233 Employees

What We Do

Allata (pronounced a-ley-ta) is a strategy, architecture and enterprise-level application development company focused on helping clients enhance or scale business opportunities, create efficiencies and automate processes through custom technologies.

We are building a different kind of firm – focused on doing exciting, transformational work for great clients and bringing caring and dedicated people to make our clients goals a reality. Our vision is to build an energized group of talented professionals that can stand strong on their own but work better as a networked team.

We enable business agility at the intersection of people, process, and technology. We provide solutions and expert services to assist businesses to become more nimble, transformative, and disruptive in their respective industries. We define vision, strategy, and value creation models for shaping strategic product designs, managing, and transforming enterprise delivery.

Just as strongly as we care about our clients, we feel that it is important to give back to the community and non-profits that we are passionate about. Every month, Allata donates 2% of our net income to a charitable cause our team believes in.

We live by our mantra:
Family comes first, clients are king, we take great care of our people.

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