Senior Analyst Senior Developer Solution Owner

Job Title: Senior Analyst - Senior Developer / Solution Owner

Career Level: D1

Introduction to role:

Are you ready to own critical data solutions that power a global enterprise and ultimately help deliver medicines to patients faster Do you see yourself guiding teams to turn complex fast-moving data into reliable pipelines that drive confident decisions across science operations and commercial

In this role you will set the vision and lead the delivery of robust data platforms and pipelines that keep the business running at pace. You will connect engineering excellence to tangible business outcomesmeasurable reliability cost efficiency and performanceso colleagues can focus on high-impact work.

You will be a trusted partner who aligns architecture and standards across functions coaches engineers and shapes a roadmap that scales. Your ownership will be visible in clear benchmarks high-quality releases and platforms that are secure compliant and built to last.

Accountabilities:

• Solution Ownership: Define and own the solution vision architecture roadmap and benchmarks for data pipelines and platforms ensuring alignment to enterprise standards security and regulatory requirements. You will set direction from day one and evolve the solution as needs grow balancing speed quality and risk.

• Technical Leadership: Lead design and implementation of robust scalable batch and streaming pipelines using Airflow Databricks Python and SQL on AWS; ensure observability cost efficiency and performance. Your designs will lower time-to-insight and reduce operational incidents.

• Platform and DataOps: Establish CI/CD automated testing orchestration monitoring and incident management practices; drive reliability and change management across environments. You will build the guardrails that keep releases safe while accelerating delivery.

• Architecture and Design: Translate business requirements into logical and physical data models; define patterns for ingestion transformation and serving (Delta Lake medallion architecture); advise on Snowflake usage where appropriate. Your patterns will become reusable standards across teams.

• Governance and Quality: Implement data quality controls lineage cataloging access management and compliance with data privacy/security standards; enforce coding standards and review processes. You will improve the data you can trust.

• Collaborator Management: Engage product owners business collaborators security and platform teams; manage expectations communicate trade-offs and report progress risks and outcomes in clear non-technical language. You will turn complex choices into clear decisions.

• Roadmap and Delivery Management: Plan and prioritize backlogs; coordinate cross-functional work; manage scope timelines and budgets; ensure high-quality releases and operational readiness. You will keep the team focused on outcomes and delivery.

• Team Leadership and Coaching: Mentor engineers; facilitate knowledge sharing; develop a culture of continuous improvement accountability and psychological safety. You will grow capability and create a high-performing resilient team.

• Vendor and Partner Coordination: Lead all aspects of third-party contributions; evaluate tools/services; manage contracts and SLAs related to the solution. You will get the best from partners while protecting value and standards.

• Continuous Improvement: Measure and optimize data pipeline reliability performance and cost; drive automation and standardization; sunset legacy approaches. You will make the platform simpler faster and cheaper over time.

Essential Skills/Experience:

• Experience: 7 years in data engineering with a track record of delivering production-grade pipelines and platforms; At least 2 years in a technical leadership or solution ownership capacity.

Core Technologies:

• Airflow: DAG design scheduling dependency management extensibility and operations.

• Databricks: Spark (PySpark) Delta Lake MLflow basics cluster governance performance tuning.

• SQL: Advanced query optimization data modeling (3NF dimensional/star) and ELT/ETL design.

• Python: Clean testable code packaging dependency management and performance tuning.

• AWS: S3 IAM Glue/Lambda EMR/Databricks on AWS CloudWatch networking fundamentals and cost management.

• Data Architecture: Strong understanding of batch and streaming patterns medallion architecture data contracts schema evolution and partitioning strategies.

• DataOps and CI/CD: Experience with Git-based workflows automated testing infrastructure-as-code and deployment pipelines.

• Collaborator Communication: Excellent written and verbal communication; ability to translate technical details into business outcomes and influence senior collaborators.

• Process and Management Skills: Backlog management prioritization risk management resource planning and budget awareness; familiarity with Agile frameworks.

• Snowflake(Good to have): Data sharing virtual warehouses storage/compute cost optimization Snowpipe role-based access and performance tuning.

When we put unexpected teams in the same room we ignite ambitious thinking with the power to inspire life-changing -person working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca:

Join a global fast-moving enterprise where diverse teams sit together to spark bold ideas take smart risks and turn data into decisions that matter for patients. Here engineering excellence powers every function to run faster and more efficiently and your work will be seen in the way the company operates day to day. Being part of an encouraging high-performing network that values kindness and ambition you gain accountability to drive meaningful change. You also benefit from a world-class organizations backing and investment in modern technology.

Own the data platform that powers real-world impactapply today to lead build and scale solutions that help AstraZeneca achieve more faster!

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds with as wide a range of perspectives as possible and harnessing industry-leading skills. We believe that the more inclusive we are the better our work will be. We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.