Staff Engineer Architect [T500-20536]

ANSR is hiring for one of its clients.

About Albertsons Companies Inc. :

As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.

We build and shape technology solutions that solve customers’ problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.

Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.

About Albertsons Companies India :

At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company’s technology journey to support millions of customers’ lives every day.

At the Albertsons Companies India, we are raising the bar to grow across Technology & Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.

Position Title : Staff Engineer Architect

Function : Tech

Job Description :

Roles & responsibilities :

Lead the discovery phase of large projects to come up with a high-level architecture and design.

Partner with senior stakeholders to translate business requirements into scalable data solutions.

Design and implement enterprise-wide data architecture strategies aligned with business goals.

Collaborate with engineering, analytics, and business teams to ensure data solutions meet performance, reliability, and usability requirements.

Architect scalable data solutions using cloud platforms (GCP or Azure) and modern data warehouses (BigQuery, Snowflake or Databricks).

Design and architect scalable data pipelines utilizing Kafka or IBM MQ or ActiveMQ for real-time data ingestion and streaming.

Design and architect efficient processes, focusing on cloud-based and streaming architectures often leveraging tools like Dataflow (Apache Beam) or Dataproc.

Participate in Architecture Review of solutions within the Domain and for the other domains.

Continuous partnership with enterprise architecture team, cross functional teams, including vendor partners, to ensure all solutions are being developed with continuity of the enterprise solution ecosystem, while meeting all security, data governance, legal, risk and compliance standards.

Collaborate with Enterprise and Data Architecture teams to shape enterprise architecture guardrails, standards, and patterns.

Evaluate and recommend new technologies, tools, and frameworks for data architecture and engineering. Stay abreast of emerging trends in data architecture, cloud computing, and AI / ML to drive innovation.

Advocate for data-driven decision-making and promote a data-first culture across the organization.

Work closely with data engineers, analysts, and product teams to ensure architectural consistency and reusability.

Lead proof-of-concept initiatives to evaluate new technologies and approaches.

Create and maintain comprehensive architecture documentation, including diagrams, standards, and best practices.

Communicate complex technical concepts clearly to non-technical stakeholders and executive leadership.

Define and enforce data governance, metadata management, and data quality standards.

Ensure compliance with data security and privacy regulations.

Ensure quality guidelines and control processes are created and implemented for the technology platforms and products working with data engineering teams.

Work with a team of Architects and Tech Leads to define, own and implement the data architecture.

Run the architecture and design review meetings.

Experience Required :

Proven experience in developing and driving enterprise data strategies, vision, and roadmap to enable digital transformation and data-driven decision making.

Extensive collaboration with Senior Leadership across Product and Engineering, delivering architectural design and data solutions for key strategic initiatives.

Led cross-functional data architecture teams to deliver robust data models, data platform designs, and enterprise-scale solutions.

Demonstrated expertise in architecting, designing, and implementing highly distributed, scalable, and resilient cloud-based data systems, with deep knowledge of cloud infrastructure, data security, and data engineering best practices.

Mentored Solution Architects and Technical Leads on data architecture principles, governance, and modern data platform technologies.

Broad knowledge of the eCommerce, Merchandizing, Retail, and Supply Chain ecosystems, with in-depth understanding of relevant data technologies, standards, and business processes.

Extensive experience in supporting application needs with robust data architectures, including data integration, APIs, and real-time data processing.

Expert in software and data design patterns, implementing best-in-class solutions for high-performance, scalable, and secure data systems.

Deep understanding of fundamental architectural principles, frameworks, and technologies such as event-driven architectures, streaming architectures etc. including enterprise data integration.

8 – 12 years as an Architect, building secure, highly available, and scalable distributed data systems.

Advanced understanding of data structures, relational and non-relational databases (NoSQL / RDBMS), and high-frequency data / event streaming architectures.

Expertise in best practices for systems integration, data security, performance optimization, and enterprise data management.

Hands-on experience with BigQuery, Kafka, Dataflow, Airflow or Google Composer, traditional RDBMS, Databricks and other modern cloud / data engineering tools.

Broad expertise in the full software and data development lifecycle, with knowledge of Agile, iterative development methodologies, and DevOps practices.

Competencies :

Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others.

Foster innovation through creativity to get to a workable solution. Use analytical thinking through issues using logic and reason

Show integrity in what is done and how it is done - without sacrificing personal / business ethics.

Embrace an inclusion-focused mindset, seeking input from others on their work and encouraging the open expression of diverse ideas and opinions

Team-oriented, positively contributing to team morale and willing to help.

Learning-Focused, finding ways to improve in their field and use positive constructive feedback to grow personally and professionally

Think strategically and proactively anticipate future problems, needs or changes in the work

Delighting our customers and maintaining customer relationships are top priority and they work to always deliver solutions through this lens

Ability to learn newer technologies, methodologies, and solutions in the cloud technology space.

Ability to collaborate across organizational boundaries, build relationships, and achieve broader organizational goals.

Skills Required :

Data Architecture, Modeling, Security

Cloud Platforms

Data Warehousing

Streaming & Messaging

Workflow Orchestration

Additional Skills Required :

Experience in Retail, eCommerce, Digital and Data Products, GenAI.

Knowledge of GenAI, LLM, AI & ML, Data Science.

Experience in cloud logging methodologies for metrics, application logging, and tracing.

Experience in DevOps.

Experience in AI, preferably in the context of data engineering.

Experience with Stonebranch for job scheduling.