Senior Bi & Data Architect: Sql Server & Power Bi

Agileengine, Llc.; Buenos Aires; Hybrid; ARS 139,086,000 - 216,357,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

Proofpoint in Córdoba, Argentina seeks a Senior DBA/DevOps hybrid focused on high‑availability production databases and data platforms. You will manage SQL Server, Aurora PostgreSQL, and AWS RDS, build Terraform IaC, and optimize performance in a fast‑paced engineering environment.

This role collaborates with engineering teams, implements disaster recovery, secures access, tunes workloads, and participates in incident response.

Qualifications

• 3–4 years of hands‑on DBA experience.
• Experience with Microsoft SQL Server and Aurora PostgreSQL.
• Experience with AWS (RDS and Aurora).
• Programming with PowerShell or Python.
• Infrastructure as Code (IaC) tools, such as Terraform.
• Kafka (Confluent Kafka) administration and troubleshooting.
• Extensive experience with performance analysis and tuning.
• Experience with high‑availability production systems and disaster recoveries.
• 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 an extremely technical environment, administering the data systems that support the website.
• Stay composed under pressure and navigate extremely stressful situations.

Skills

Microsoft SQL Server

Aurora PostgreSQL

PowerShell or Python

Terraform

Kafka (Confluent Kafka)

AWS RDS/Aurora

Performance tuning

High availability / Disaster recovery

English (Upper-intermediate)

Tools

Terraform

Job description

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Database Administrator to manage, secure, and tune high-availability production databases, working closely with engineering teams. This is a hands‑on DBA role focused on database administration, performance, security, and reliability—not Data Engineering.

The mandatory requirements are 3–4 years of hands‑on DBA experience, Microsoft SQL Server and Aurora PostgreSQL, PowerShell or Python, Terraform, Confluent Kafka, AWS RDS and Aurora, performance tuning, high availability and disaster recovery, and an upper‑intermediate English level.

WHAT YOU WILL DO

• 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.

MUST HAVES

• 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.
• Adroit at diagnosing difficult performance issues.
• Upper‑intermediate English level.

NICE TO HAVES

• 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.

PERKS AND BENEFITS

• 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.

Requirements

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.

Location: Cordoba, Argentina
Contract: Full time
Job ID: R14751

About Us

Proofpoint is a global leader in human‑and agent‑centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work

At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

• Bold in how we dream and innovate
• Responsive to feedback, challenges and opportunities
• Accountable for results and best in class outcomes
• Visionary in future focused problem‑solving
• Exceptional in execution and impact

Position Overview

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure—you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintain the cloud infrastructure (AWS‑first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high‑quality data products faster and more safely. At the same time, you will actively contribute to the design and operation of data pipelines using AWS Glue, Athena, and S3, bringing a strong operational mindset to data engineering. If you thrive at the boundary between platform and data, love automating toil, and care deeply about reliability and developer experience, this role is for you.

What You'll Do

• Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage cloud infrastructure on AWS using Infrastructure‑as‑Code (Terraform and/or AWS CDK)-covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
• Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform-self‑service tooling, pipeline templates, and shared libraries that allow data engineers to spin up production‑grade pipelines quickly.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.
• Build and maintain AWS Glue ETL jobs (PySpark) for large‑scale data ingestion and transformation across the data lake on S3.
• Drive security best practices across the data platform: secrets management (AWS Secrets Manager / Parameter Store), least‑privilege IAM, network segmentation, and compliance controls.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.
• Lead incident response for data platform outages: on‑call participation, root‑cause analysis, and post‑mortem‑driven improvements.
• Mentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.

Required

• 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands‑on data engineering work.
• Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
• Hands‑on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).
• Proficiency with Infrastructure‑as‑Code tools-Terraform and/or AWS CDK-for managing production cloud environments.
• Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).

Nice to Have

• Familiarity with real‑time / streaming data processing using Apache Kafka, Amazon Kinesis, or Glue Streaming ETL.
• Knowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.
• Familiarity with open table formats (Apache Iceberg, Delta Lake) and lakehouse patterns.
• Background in cybersecurity, threat intelligence, or security‑data analytics environments.
• AWS Certified DevOps Engineer - Professional, AWS Certified Data Engineer - Associate, or AWS Certified Solutions Architect certification.
• Experience with cost optimization tooling (Infracost, AWS Cost Explorer dashboards, Athena query cost governance).

Why Proofpoint?

• Competitive compensation
• Comprehensive benefits
• Career success on your terms
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities

Our Culture

Our culture is rooted in values that inspire belonging, empower purpose and drive success‑every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to.

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.

We are the leader in human‑centric cybersecurity. Half a million customers, including 87 of the Fortune 100, rely on Proofpoint to protect their organizations. We're driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.