Senior Data Architect - Sql Server & Power Bi
1801 Haleon Argentina S.A.
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Benefits offered by this job
Job summary
AgileEngine is seeking a mid-level Database Administrator to manage, secure, and tune high-availability production databases. You will work closely with engineering teams to ensure system reliability, security, and performance across MS SQL Server, Aurora PostgreSQL, and Confluent Kafka.
You will be responsible for disaster recovery planning, access control, and collaboration with engineers on design reviews and production support.
Qualifications
- 3–4 years of hands-on DBA experience.
- Experience with Microsoft SQL Server and Aurora PostgreSQL.
- Experience with AWS, especially RDS and Aurora.
- Programming experience with PowerShell or Python.
- Experience with Infrastructure as Code (IaC) tools such as Terraform.
- Experience with Kafka (Confluent Kafka).
- Extensive experience with performance analysis and tuning.
- Upper-intermediate English level.
Responsibilities
- Maintain high availability of production database systems and keep them performing well.
- Plan for and carry out disaster recovery, ensuring zero data loss in case of disaster.
- Keep database systems secure, including access control, and adhere to security protocols.
- Analyze and tune database performance, and diagnose difficult performance issues.
- Work closely with engineers on system design, performance tuning and technical support.
- Operate hands-on in a technical environment, administering the data systems that support the website.
- Stay composed under pressure in stressful situations.
Skills
Tools
Job description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Database Administrator to manage, secure, and tune high-availability production databases, working closely with engineering teams.
The mandatory requirements are experience with Microsoft SQL Server, Aurora PostgreSQL, and Confluent Kafka, 3–4 years of hands‑on DBA experience, AWS RDS and Aurora, and an upper‑intermediate English level.
- Maintain high availability of production database systems and keep them performing well.
- Plan for and carry out disaster recovery, ensuring zero data loss in case of disaster.
- Keep database systems secure, including access control, and adhere to security protocols.
- Analyze and tune database performance, and diagnose difficult performance issues.
- Work closely with engineers on system design, performance tuning and technical support.
- Operate hands‑on in an extremely technical environment, administering the data systems that support the website.
- Stay composed under pressure and navigate extremely stressful situations.
- Mid-level with 3 to 4 years of hands‑on experience in the skills listed below.
- Experience with both Microsoft SQL Server and Aurora PostgreSQL; candidates may be stronger in either one.
- Experience with AWS, particularly RDS and Aurora.
- Programming experience with PowerShell or Python.
- Experience with Infrastructure as Code (IaC) tools, such as Terraform.
- Experience with Kafka (Confluent Kafka), such as administration and troubleshooting.
- Extensive experience with performance analysis and tuning.
- Experience working closely with engineering teams, including requirements gathering, design reviews and delivering work on tight deadlines.
- Experience administering high-function, high-availability production systems.
- Experience performing disaster recoveries.
- Adept at diagnosing difficult performance issues.
- Upper-intermediate English level.
- Experience building Kafka connectors and topics.
- Experience with NoSQL databases such as MongoDB.
- Experience with Snowflake.
- Experience with other relational databases such as MySQL.
- Advanced Kafka experience, including KSQL and Flink.
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
We are looking for a Database Administrator to manage, secure, and tune high-availability production databases, working closely with engineering teams.
The mandatory requirements are experience with Microsoft SQL Server, Aurora PostgreSQL, and Confluent Kafka, 3–4 years of hands‑on DBA experience, AWS RDS and Aurora, and an upper‑intermediate English level.
- Maintain high availability of production database systems and keep them performing well.
- Plan for and carry out disaster recovery, ensuring zero data loss in case of disaster.
- Keep database systems secure, including access control, and adhere to security protocols.
- Analyze and tune database performance, and diagnose difficult performance issues.
- Work closely with engineers on system design, performance tuning and technical support.
- Operate hands‑on in an extremely technical environment, administering the data systems that support the website.
- Stay composed under pressure and navigate extremely stressful situations.
- Mid-level with 3 to 4 years of hands‑on experience in the skills listed below.
- Experience with both Microsoft SQL Server and Aurora PostgreSQL; candidates may be stronger in either one.
- Experience with AWS, particularly RDS and Aurora.
- Programming experience with PowerShell or Python.
- Experience with Infrastructure as Code (IaC) tools, such as Terraform.
- Experience with Kafka (Confluent Kafka), such as administration and troubleshooting.
- Extensive experience with performance analysis and tuning.
- Experience working closely with engineering teams, including requirements gathering, design reviews and delivering work on tight deadlines.
- Experience administering high-function, high-availability production systems.
- Experience performing disaster recoveries.
- Adept at diagnosing difficult performance issues.
- Upper-intermediate English level.
- Experience building Kafka connectors and topics.
- Experience with NoSQL databases such as MongoDB.
- Experience with Snowflake.
- Experience with other relational databases such as MySQL.
- Advanced Kafka experience, including KSQL and Flink.
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
- Mid-level with 3 to 4 years of hands‑on experience in the skills listed below.
- Experience with both Microsoft SQL Server and Aurora PostgreSQL; candidates may be stronger in either one.
- Experience with AWS, particularly RDS and Aurora.
- Programming experience with PowerShell or Python.
- Experience with Infrastructure as Code (IaC) tools, such as Terraform.
- Experience with Kafka (Confluent Kafka), such as administration and troubleshooting.
- Extensive experience with performance analysis and tuning.
- Experience working closely with engineering teams, including requirements gathering, design reviews and delivering work on tight deadlines.
- Experience administering high-function, high-availability production systems.
- Experience performing disaster recoveries.
Do you get energized helping customers solve complex problems-not just on a whiteboard, but by building alongside them? We’re looking for a Solutions Architect to join our CSC LATAM team, working with SMB / Enterprise customers across the full breadth of their cloud journey. You’ll help customers migrate to the cloud, modernize legacy applications and databases, build cloud-native solutions, and explore how GenAI & Agentic AI can drive their business forward.
We value practitioners-people whose judgment is grounded in real-world experience building and shipping solutions. You’ll partner hands-on with customers, turning ideas into working prototypes and production-ready architectures. Whether the challenge is a complex migration, a legacy modernization, a greenfield application, or helping a customer understand how AI can transform their business-you’ll bring curiosity, technical depth, and a bias for action.
If you thrive in ambiguity, adapt quickly when priorities shift, and measure your success by the outcomes you help customers achieve-we'd love to hear from you.
We value diversity in all its forms - we believe that teams made up of people with different backgrounds, experiences, perspectives, and ways of thinking are more creative, innovative, and resilient. Here, every voice matters and contributes to our collective growth.
- Partner with enterprise customers to design, build, and implement solutions across cloud adoption, migration, modernization, and new workloads.
- Work hands-on with customer and partner teams-building prototypes, proofs of concept, and production-ready architectures together.
- Guide customers through cloud migrations-helping them move workloads efficiently and securely.
- Help customers explore how AI and emerging technologies can enhance their applications, operations, and customer experiences.
- Share knowledge broadly through workshops, technical content, and community engagement.
In this role, you’ll engage directly with customers to understand their business objectives and technical requirements, then architect cloud solutions that address their specific needs. You might spend your morning collaborating with a startup to design their initial cloud infrastructure, then transition to working with an enterprise team on migrating complex legacy systems to AWS. Throughout your day, you’ll partner with AWS specialists and customer teams to validate architectural decisions, troubleshoot challenges, and ensure solutions align with both technical best practices and business goals. You’ll also contribute to improving our architectural guidance and resources based on real-world customer experiences, helping shape how we support organizations of all sizes.
You’ll be part of the AWS CSC Solutions Architecture team. We work with enterprise customers across industries-helping them adopt cloud, migrate and modernize their technology landscape, adopt AI, and build for the future. Our team values builders who are curious, collaborative, and customer-obsessed. We learn from each other, support each other’s growth, and celebrate diverse perspectives. Whether you’re presenting to executives or coding alongside engineers, you’ll find a team that values both technical depth and human connection.
- Experience in specific technology domain areas like software development, cloud computing, systems engineering, infrastructure, security, networking, data and analytics.
- Knowledge of cloud computing concepts and design considerations.
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders.
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques.
- Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby).
- Speak, write, and read fluently in English, and have the ability to take direction in English.
- Experience across multiple domains: application development, databases, infrastructure, networking, and/or security.
- Hands-on experience with AWS services (EC2, Containers, S3, EBS, Serverless). Desirable knowledge of AWS AI/ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Quick, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, etc.
- AWS certifications or Contributions to the technical community through speaking, writing, or open source.
- AI/ML certifications: AWS Certified AI Practitioner. Equivalent certifications from other cloud providers are also welcome.
Full time
Requirements: Mid-level with 3-4 years of hands‑on experience in the skills listed below. Experience with both Microsoft SQL Server and Aurora PostgreSQL; candidates may be stronger in either one. Experience with AWS, particularly RDS and Aurora. Programming experience with PowerShell or Python. Experience with Infrastructure as Code (IaC) tools, such as Terraform. Experience with Kafka (Confluent Kafka), such as administration and troubleshooting. Extensive experience with performance analysis and tuning. Experience working closely with engineering teams, including requirements gathering, design reviews and delivering work on tight deadlines. Experience administering high-function, high-availability production systems. Experience performing disaster recoveries.
Ví
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